三维表面形貌的功能评定方法

三维表面形貌受生成机理的影响 ,与表面功能密切相关 ,对表面的功能评定至关重要。论述了三维表面功能评定的各种方法 ,如最小二乘多项式拟合、滤波、Motif法和分形方法 ,并分析归纳了存在的问题和发展趋势。     

电工电子类课程多媒体教学的体会

本文分析了在电工、电子技术课程中采用多媒体教学的特点和遇到的问题,并且叙述了一些多媒体课件制作的方法。     

大型柔性空间结构动特性分析的有限元方法

本文通过设计合理的内外存交换过程，改造有限元法、Ｌａｎｃｚｏｓ算法，从而使得对上万自由度的大型柔性空间结构的静动力计算可以在普通３８６微机上进行。算例表明方法正确并具有相当高的效率     

巧妙设计微分教学

在多年的教学实践和理论研究的基础上,根据多次试验及学生的反应,总结出《高等数学》—"微分"一节可以采用发现教学法和问题教学法相结合的教学方法,从而可以培养学生的学习兴趣,提高记忆品质,提高课上学习效率。     

高速列车车厢新型压力控制技术研究

高速列车穿越隧道或两车交会时产生的压力波动将对旅客产生“耳感不适”。本文借鉴飞机座舱压力控制的成熟经验，提出了解决高速列车车厢压力变化的新型压力控制方案，通过计算机模拟分析表明，该方案初步可行。     

数控机床参考点的回归及其常见故障诊断

结合具体数控机床介绍参考点回归原理及过程,并对机床回参考点过程中各种形式的故障进行分析、诊断及总结。     

可编程序控制器(PLC)教学实践

本文从PLC程序控制器的教学实践出发，根据PLC是以循环扫描方式执行用户程序的特点，阐述了PLC教学过程中应注意的有关事项和PLC程序设计方法，总体把握PLC教学的重点和难点，注重培养学生的工程应用能力和解决现场实际问题的能力，突出高等职业教育的应用特色和能力本位。旨在训练机电类专业学生对PLC技术应用的思想和方法。     

A CONCISE M-METRIC LEAST SQUARE FORMULA FOR POLYNOMIAL ANALOGY

ＡＣＯＮＣＩＳＥＭ－ＭＥＴＲＩＣＬＥＡＳＴＳＱＵＡＲＥＦＯＲＭＵＬＡＦＯＲＰＯＬＹＮＯＭＩＡＬＡＮＡＬＯＧＹ￥ＰａｎＸｉａｏｓｕ（ＣｏｌｌｅｎｇｏｆＳｃｉｅｎｃｅ，ＮＵＡＡ２９ＹｕｄａｏＳｔｒｅｅｔ，Ｎａｎｊｉｎｇ２１００１６，Ｐ．Ｒ．Ｃｈｉｎａ）Ａ...     

民用飞机故障载荷设计研究

以某大型民用客机为例,基于各系统的功能危险性评估报告进行故障筛选,根据筛选得到的故障清单对失效发生时刻和失效状态下继续飞行的飞行载荷进行了设计分析,发展形成了一种高效、可靠的故障载荷设计研究方法。     

Characterizing slope correction methods applied to satellite radar altimetry data: A case study around Dome Argus in East Antarctica

Slope correction is important to improve the accuracy of satellite radar elevation measurements by mitigating the slope-induced error (SE), especially over uneven ground surfaces. Although several slope correction methods have been proposed, guidance in the form of stepwise algorithm on how to implement these methods in processing radar altimetric data at the coding level, and the differences among these methods need to be presented and discussed systematically. In this paper, three existing types of slope correction methods—the direct method (DM), intermediate method (IM), and relocation method (RM, further divided into RM1 and RM2)—are described in detail. In addition, their main differences and features for various scientific applications are analyzed. We conduct a systematic experiment with CryoSat-2 Low Resolution Mode (LRM) data in a physically stable area around Dome Argus in East Antarctica, where in-situ measurements were available for comparison. The slope correction is implemented separately using the three methods, with the latest high-accuracy Reference Elevation Model of Antarctica (REMA) as the a-priori topography model. The bias and precision of the slope-corrected CryoSat-2 data results from the RM2 is ?0.18 ± 0.86 m based on the comparison with the field Global Navigation Satellite System (GNSS) data. The results from the RM2 indicate higher precision compared to those from the RM1. According to the correlation analysis of the slope-corrected CryoSat-2 data results (RM1 and RM2), the bias enlarges and the precision becomes worse when the surface slope increases from 0 to 0.85°. After a comprehensively comparative analysis, we find that the results from the RM1 and RM2 are superior in precision (0.93 m and 0.86 m) with respect to the GNSS data. The relatively low precision (1.22 m) from the IM is due to the potential error from the a-priori digital elevation model (DEM). The DM has the lowest precision (2.66 m). Another experiment over rough topography in West Antarctica is carried out for comparison, especially between the RM1 (precision of 15.27 m) and RM2 (precision of 16.25 m). In general, the RM is recommended for the SE elimination among the three methods. Moreover, the RM2 is firstly considered over smooth topography due to the superior performance in bias and precision, while the RM1 is more suggested over the rough topography because of the slightly smaller bias and better precision. The IM relies much on the accuracy of the a-prior DEM and is not usually recommended, because of the strict requirement in the sampling time between the radar altimetry data and the a-priori DEM to avoid any surface change over time.