The Education of Future Aeronautical Engineers: Conceiving, Designing, Implementing and Operating

This paper will outline answers to the two central questions regarding improving engineering education: (1) What is the full set of knowledge, skills, and attitudes that engineering students should possess as they leave the university, and at what level of proficiency? (2) How can we do better at ensuring that students learn these skills? The suggested answers lie within an innovative educational framework, the CDIO (conceive–design–implement–operate) Initiative. This initiative will be described along with the needs it meets, its goals, context, vision and pedagogical foundation. The first question is answered by the CDIO Syllabus and the process for reaching stakeholder consensus on the level of proficiency that students should attain in a given program. The second question is addressed through a best practice framework, which discusses curriculum design, design-implement experiences, teaching and learning, student assessment, program evaluation and faculty competence. Examples are provided of the implementation of best practices within the CDIO program in Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT). Reprinted with the permission from International Council of the Aeronautical Sciences (ICAS) www.icas.org This paper was originally presented at ICAS 2006 Congress in Hamburg, Germany and included in the congress proceedings.     

《软件工程基础》课程教学中应用型人才培养初探

传统的软件工程在教学上很大程度上只偏重于理论和软件开发的基础知识的传授,轻视实训能力的培养和软件开发的系统培训。软件工程教学中培养应用型人才的教学模式对于培养学生的软件工程实际应用能力具有重要意义,本文针对《软件工程基础》课程的教学进行了研究与探索,提出了结合软件生命周期理论的实例教学和实践教学相结合模式的方法,并对此方法探讨了教学目的、教学内容、和实施过程的教学评价,同时阐释了实例教学和实践教学相结合模式在软件工程教学与传统软件工程教学的主要区别。     

探地雷达技术在公路工程中的应用

本文通过介绍探地雷达技术的基本原理,阐述了近年来探地雷达新技术在公路工程中的应用,讨论了此方法技术的应用领域与潜力,明确不同探测研究对象所采用的主要技术参数,为在公路工程中更好开发利用新技术展现出了广阔的前景。     

学术期刊微信公众平台的传播特点及适宜应用形式分析

【目的】 了解学术期刊微信公众平台的传播特点及采用适宜形式,以促进传播效果最大化。 【方法】 以农业工程学报微信公众平台为案例,基于后台统计数据,分析平台用户关注和图文阅读情况。 【结果】 科研论文写作指导类、学报自身宣传类消息的图文转化率较高,根据论文内容所撰写的新闻通讯类消息以综合、土地和争鸣栏目的图文转化率较高;图文阅读渠道按阅读次数比例排序是：会话>朋友圈>其他>好友转发>历史消息。 【结论】 学术期刊微信平台较适宜的传播形式与措施主要有：将专业性强的学术内容以科普文章的形式传播;采用多图文发布形式;发布科研论文写作指导类消息,以及具有创新性、针对当前研究热点的科技消息等。     

有限元方法与神经网络技术在岩土工程中的综合应用

介绍了有限元方法与神经网络技术在岩土工程中的综合应用,就其应用价值及结合方式、方法进行了论述,给岩土工程的研究提供了一种新思路。     

重大工程科技创新合作网络的多元时空演化

重大工程建设具有极高的挑战性，需要开展跨组织科技创新，但目前针对重大工程科技创新合作网络的研究较少。本文以詹天佑奖为背景，采用动态多元网络分析方法，建立重大工程科技创新合作网络，并分析其时空动态演化规律，识别其中关键节点。研究发现，该网络为低密度的小世界网络；并且随着时间变化，少数关键企业逐渐成为网络的关键节点，国有企业成为创新网络的主体，地方性企业则在其中扮演重要的中介角色；在空间特征方面，总部在东中部地区大城市的企业在网络中占据重要位置，区域发展呈现不平衡性。衡量参建企业所在地和工程所在地的地理性一致性指标稳定在0.5左右，即总体而言本地和外地企业具有均等的优势。     

信息可视化--情报学研究的新领域

信息可视化是在国外最近才形成的情报学研究的新领域。本文考察了信息可视化的起源，说明了信息可视化的概念。给出了信息可视化的经典与现代案例，考察了信息可视化流程。     

工业工程专业运筹学教学研究

本文对工业工程运筹学教学中存在的问题进行了分析,并就运筹学的教学目的、教学内容、教学形式等方面提出了改革思路和措施。     

Towards enhancing stacked extreme learning machine with sparse autoencoder by correntropy

The stacked extreme learning machine (S-ELM) is an advanced framework of deep learning. It passes the ‘reduced’ outputs of the previous layer to the current layer, instead of directly propagating the previous outputs to the next layer in traditional deep learning. The S-ELM could address some large and complex data problems with a high accuracy and a relatively low requirement for memory. However, there is still room for improvement of the time complexity as well as robustness while using S-ELM. In this article, we propose an enhanced S-ELM by replacing the original principle component analysis (PCA) technique used in this algorithm with the correntropy-optimized temporal PCA (CTPCA), which is robust for outliers rejection and significantly improves the training speed. Then, the CTPCA-based S-ELM performs better than S-ELM in both accuracy and learning speed, when dealing with dataset disturbed by outliers. Furthermore, after integrating the extreme learning machine (ELM) sparse autoencoder (AE) method into the CTPCA-based S-ELM, the learning accuracy is further improved while spending a little more training time. Meanwhile, the sparser and more compact feature information are available by using the ELM sparse AE with more computational efforts. The simulation results on some benchmark datasets verify the effectiveness of our proposed methods.