计算机图形学可视化教学综合实验平台开发

为解决"计算机图形学"课堂教学中偏理论、低效率、不直观等问题,以课程中直线拟合、网格模型分割及3D点云数据自动配准等关键知识点为例,开发了"直线拟合、网格模型分割及3D点云数据自动配准综合实验平台V1. 0"。利用该实验平台可以直观互动地掌握最小二乘拟合、三维空间变换、网格模型法向量分析和ICP点云配准等算法原理。在辅助课堂教学的同时,该实验平台还在大学生创新性实验计划项目、大学生科技创新竞赛中发挥作用。

数学专业的程序设计、数据结构和计算机图形学课程衔接

本文以《c++程序设计》、《数据结构与算法》和《计算机图形学》这三门课程为切入点,分析了数学专业的计算机类课程的教学面临的问题和机遇,对于这三门课的教学衔接做了有益的探索。

基于3D打印的壳状模型轻量化实验平台构建

在研究计算机辅助设计与现代制造技术的基础上,设计实现了一个基于3D打印技术的工程模型轻量化实验平台,并基于该平台对轻量化设计的相关流程和方法论进行了深入研究。提出使用热扩散模拟受力分布对壳状模型进行轻量化设计,并以3D打印为实验手段,通过构建误差与参数关系对轻量化设计进行验证和反馈修正。实验平台为高效、可信的轻量化问题提供了分析、建模及验证的一整套方法与手段。

智能3D打印路径规划算法

大型工业制件在增材制造中的路径规划的优劣直接影响着制造质量和效率。现阶段常用的传统3D打印路径规划方法存在打印头转弯堆积和打印头起落次数较多等问题,并不完全适用于大型工业制造。因此,文中提出了一种智能路径规划方法。首先,将切片后得到的二维平面进行凹多边形凸分解,形成打印子区;然后,对每个分区内部进行沿分区长轴打印以减少打印路径数量和总行程;最后,将子分区的连接视作TSP旅行商问题,使用遗传算法完成子分区间的打印路径规划。同时,利用C#语言设计开发了一套智能3D打印路径规划系统,该系统具有切片面输入和显示、打印宽度设置、智能路径规划和G-code代码输出的功能。分别与两种传统路径规划算法进行对比实验,证明了智能路径规划算法生成的路径条数、空行程距离、打印头抬起次数均有明显减少。基于子分区的智能路径规划方法为大型工业制件的增材制造过程提供了新的思路。

基于OBJ模型的三维彩色切片技术研究

近年来,随着3D打印技术的不断进步,彩色3D打印正成为行业的普遍需求。然而作为目前3D打印领域模型描述的标准文件格式,STL文件并不存储三维模型的颜色信息,无法满足彩色3D打印对模型信息提取和切片处理过程的新需求。在此背景下,选取OBJ彩色模型作为彩色切片技术的研究对象,解析其文件结构,提取其中保存的模型几何和颜色相关信息,并进行切片过程优化处理;结合OBJ模型的具体特点,在传统拓扑切片算法的基础上,提出基于模型连续性的彩色切片算法,给出了算法的整体流程步骤。应用该算法的切片处理提高了分层处理的效率,得到了模型的分层轮廓信息,完成了彩色切片的处理过程。实验结果证明该技术可对OBJ模型进行彩色切片处理,其效果良好,稳定可靠。

Expression of transcription factor Pokemon in non-small cell lung cancer and its clinical significance

Background Transcription factor Pokemon, a central regulation gene of the important tumor suppressor ARF gene, exerted its activity by acting upstream of many tumor-suppressing genes and proto-oncogenes. Its expression in non-small cell lung cancer （NSCLC） and its clinical significance remains unclear. The aim of this study was to investigate the expression of Pokemon in NSCLC and to explore its correlation with the clinical pathological characteristics and its influence on patients＇ prognosis. Methods Fifty-five cases of NSCLC were involved in this study. The expression of Pokemon in the tumor tissue, the corresponding tumor adjacent tissue and the surrounding tissue was detected via reverse transcription-polymerase chain reaction （RT-PCR） and Western blotting, with the aim of investigating the correlation between the expression of Pokemon in tumor tissue of NSCLC and its clinical pathological characteristics. Moreover, a prognostic analysis was carried out based upon the immunohistochemical （IHC） detection of the expression of Pokemon gene in archival tumor specimens （5 years ago） of 62 cases of NSCLC. Results Statistical significance of the expression of Pokemon mRNA and protein was determined in the tumor tissue, the tumor adjacent tissue and the surrounding tissue （P 〈0.05）. The expression of Pokemon was determined not to be associated with the patients＇ sex, age, smoking condition, tumor differentiation degree, histology and lymph node metastasis condition. However, its relationship with TNM staging was established （P 〈0.05）. Furthermore, it was shown that the survival rate of patients with negative Pokemon expression was significantly higher than that of those with positive Pokemon expression （P=0.004）, therefore, the expression of Pokemon is believed to be an independent factor affecting prognosis （P=0.034）. Conclusion Pokemon was over-expressed in NSCLC tissue and the expression of Pokemon might be of clinical significance in non-small cell lung cancer prognostic evaluation.