面向对象三维图形引擎的设计与实现

提出并实现了一种面向对象的三维图形渲染引擎Gingko,对引擎的体系结构、各模块之间的关系以及关键技术进行了分析说明。该引擎提供可扩展的软件体系结构、高效的场景处理方法、方便易用的应用程序接口,为三维图形应用的快速开发和高效运行提供了支撑。实验证明,该引擎具有运行稳定、渲染速度快的特点,对于大规模室外场景的渲染速度能保持在20fps以上。     

面向21世纪的工程图学教育

本文论述了面向21世纪人才培养模式,工程图学教育要更新教育观念,体现可持续性教育、素质教育和适应性教育;要培养创新设计意识和美学意识,加强计算机绘图和徒手绘图技能训练.     

农民对精准扶贫政策的满意度及影响因素分析

基于精准扶贫入户调查第一手数据,从农户所处地区、个体特征、家庭收入特征、贫困状况及其与扶贫政策的相关度5个维度,借助描述统计和相关分析,考察农民对精准扶贫政策的满意度及其影响因素。研究发现：农民对精准扶贫政策“基本满意”,对当地扶贫政策落实满意度较高,但也对政策完善心存期待;陕南地区的贫困农民对扶贫政策的满意度较高;农民对减贫政策的知晓度、参与度及受益度与其对扶贫政策的满意度呈正相关关系。国家实施精准扶贫政策不仅是“利民”之举,也是“利国”之举,能极大增强贫困农户对国家政权合法性和地方政府公信力的认同。在制定和实施精准扶贫、精准脱贫政策时,要从农民尤其是贫困农民与政策的相关性着手,以“农民知不知道、需不需要、参不参加、满不满意”为扶贫开发的出发点和工作成效的依据,保障农民的知情权、参与权、受益权和评价权,以持续提升脱贫攻坚成效。     

基于随机森林算法的贫困精准识别模型研究

扶贫对象的精准识别是实现精准扶贫的重要条件。实现贫困数据的精准分类与识别以及贫困识别由定性到定量、由单维瞄准向多维瞄准的转变是精准扶贫的重要基础。精准识别可以采用大数据分析中的分类算法实现。本文基于可持续生计分析框架,从人力资本、社会资本、自然资本、物质资本、金融资本和生计环境六个方面建立了多维贫困指标体系,运用随机森林算法构建了精准识别模型,并采用中国家庭追踪调查数据（CFPS）,对扶贫对象精准识别模型的分类及识别效果进行了评价,结果表明模型效果良好。     

生态敏感区农户多维贫困测度与精准扶贫优先序分析

为实现精准识别和精准扶贫的目标,通过多维贫困测度法探索贫困的深度和诱因变得尤为重要。基于陕西省商洛市商州区的调研数据,采用Alkire Foster多维贫困测度方法从收入、健康、教育、生活设施和自然地理环境5个维度对贫困地区农户进行多维贫困测度与分解。研究表明：（1）单一维度上,农户贫困状况仍然不容乐观,各维度贫困发生率存在显著差异;（2）多维度贫困测度上,多维贫困指数随着贫困剥夺维度K的增加而不断减小,变化趋势呈现倒“S”型曲线,变化速度呈现先上升后下降的倒“U”型趋势;（3）多维贫困指数以及发生率高于其他研究,表明生态敏感区的异质程度高;（4）多维贫困指数存在地区异质性;（5）多维贫困指数的贡献率存在维度差异性,教育、收入、健康和基础设施是造成贫困的重要原因。     

少学时工程制图课的教学改革实践

通过对土建类工程管理专业《工程制图》教学改革的探索和实践,就目前《工程制图》在教学内容、教学手段和测试等方面谈几点看法。     

直面路遥的创作不足与局限

当前,路遥研究曰益走向一个狭窄的意义空间,重新反思路遥的创作,直陈路遥创作中的缺陷,对还原一个真实 的立体的路遥,继而深化路遥研究的内涵,无疑具有积极的意义     

How can we make better graphs? An initiative to increase the graphical expertise and productivity of quantitative scientists

Graphics are at the core of exploring and understanding data, communicating results and conclusions, and supporting decision‐making. Increasing our graphical expertise can significantly strengthen our impact as professional statisticians and quantitative scientists. In this article, we present a concerted effort to improve the way we create graphics at Novartis. We provide our vision and guiding principles, before describing seven work packages in more detail. The actions, principles, and experiences laid out in this paper are applicable generally, also beyond drug development, which is our field of work. The purpose of this article is to share our experiences and help foster the use of good graphs in pharmaceutical statistics and beyond. A Graphics Principles “Cheat Sheet” is available online at https://graphicsprinciples.github.io/ .     

Mathematical proof of the third order accuracy of the speedy double bootstrap method

Abstract

In our previous research, we proposed a speedy double bootstrap method for assessing the reliability of statistical models with maximum log-likelihood criterion. It can provide 3rd order accurate probabilities. In this study, our focus switches to the mathematical proof. We propose an alternative proof of the third order accuracy in the context of the multivariate normal model. Our proof is based on tube formula differential geometric methodology and an Taylor series approach to the asymptotic analysis of the bootstrap method.     

Decision Support for Airline Schedule Planning

Since the 1950s, the operations research community has developed a large number of computer models to aid in the solution of airline scheduling problems. One notable characteristic of these contributions is that each algorithm was developed with its own input and output structures, user interface, and hardware and software requirements. The result is that many of these contributions are under-utilized because they are cumbersome to use, not integrated with the other airline's systems, and not connected across all functions of the airline (from planning to operations control). What was needed to make these contributions effective was a scheduling environment with a systematic interaction between the human, standardized databases across all functions of the airline, powerful desktop workstations for decision support, a standardized interactive graphical user interface for schedule editing, and the operations research techniques for optimization. This paper reports on the application of the integration of computer science and operations research in a decision support system for airline schedule planning. The application integrates a graphical user interface and the database with the schedule optimization algorithms.