New educational tools to encourage high-school students' activity in stem

Many students have to choose their future profession during their last years in the high school and therefore to choose a university where they will get proper education. That choice may define their professional life for many years ahead or probably for the rest of their lives.Bauman Moscow State Technical University conducts various events to introduce future professions to high-school students. Such activity helps them to pick specialization in line with their interests and motivates them to study key scientific subjects.The paper focuses on newly developed educational tools to encourage high school students’ interest in STEM disciplines. These tools include laboratory courses developed in the fields of physics, information technologies and mathematics. More than 2000 high school students already participated in these experimental courses. These activities are aimed at increasing the quality of STEM disciplines learning which will result in higher quality of training of future engineers.     

Classification of solar wind structures and intense geomagnetic storm alarms with self-organizing maps

Intense geomagnetic storms (D_st < −100 nT) usually occur when a large interplanetary duskward-electric field (with Ey > 5 mV m⁻¹) lasts for more than 3 h. In this article, a self-organizing map (SOM) neural network is used to recognize different patterns in the temporal variation of hourly averaged Ey data and to predict intense storms. The input parameters of SOM are the hourly averaged Ey data over 3 h. The output layer of the SOM has a total of 400 neurons. The hourly Ey data are calculated from solar wind data, which are provided by NSSDC OMNIWeb and ACE spacecraft and contain information on 143 intense storms and a fair number of moderate storms, weak storms and quiet periods between September 3, 1966 and June 30, 2002. Our results show that SOM is able to classify solar wind structures and therefore to give timely intense storm alarms. In our SOM, 21 neurons out of 400 are identified to be closely associated with the intense storms and they successfully predict 134 intense storms out of the 143 ones selected. In particular, there are 14 neurons for which, if one or more of them are present, the occurrence probability of intense storms is about 90%. In addition, several of these 14 neurons can predict big magnetic storm (D_st  −180 nT). In summary, our method achieves high accuracy in predicting intense geomagnetic storms and could be applied in space environment prediction.     

HKJ涂料的新进展及其应用

在原 HKJ-1、HKJ-2基础上使用了更优异的颜料,适宜的助剂,用恰当的比例,制成双组份的 HKJ-2涂料,同时开发出了新型的 HKJ-3涂料,并将其涂覆于 HKJ-2表面。文章还列表比较了国内、国外的同类涂料,证明 HKJ-2和 HKJ-3涂料处于领先水平。     

空间碎片的形成,危害及防护

对空间碎片的形成，危害及航天防护等问题进行了讨论，简述了领域内的研究成果，包括基本概念、理论模型和设计方案，并对今后空间碎片研究的重要性和研究的内容进行了分析。     

国际空间保险的发展与现状

本文一般性地介绍了国际空间保险业务的新近发展和现状,并浅近地谈了一些空间保险、风险等有关问题。     

KM3大型空间环模设备放气污染检测与污染控制

首次建立了对空间环模设备放气污染检测的6种测试方法,应用于KM3大型空间环模设备的多次试验中,并依据检测结果,对 KM3系统的污染特性从污染来源、成分及分布进行了详细论述,提出了一些相应的控制方法。     

Energy utilization rates during shuttle extravehicular activities

The work rates or energy utilization rates during EVA are major factors in sizing of life support systems. These rates also provide a measure of ease of EVA and its cost in crew fatigue. From the first Shuttle EVA on the STS-6 mission in 1983, we have conducted 59 man-EVA and 341 man-hours of EVA. Energy utilization rates have been measured on each of these EVA. Metabolic rate was measured during each EVA using oxygen utilization corrected for suit leakage. From 1981–1987, these data were available for average data over the EVA or over large segments of the EVA. Since 1987, EVA oxygen utilization data were available at 2-minute intervals. The average metabolic rate on Shuttle EVA (194 kcal/hr.) has been significantly lower than metabolic rates during Apollo and Skylab missions. Peak rates have been below design levels, infrequent, and of short duration. The data suggest that the energy cost of tasks may be inversely related to the degree of training for the task. The data provide insight on the safety margins provided by life support designs and on the energy cost of Station construction EVA.     

Will space run out of space? The orbital debris problem and its mitigation

An appraisal of current and future risks from space debris is presented with the aid of calculations carried out by the MASTER model. The efficacy of various technical options -- such as fuel venting, de-orbiting and use of a graveyard orbit -- for counteracting the problem is discussed. The article then focuses on governmental and international cooperative measures and looks at the recent work done by subcommittees of the UN COPUOS.     

国外大型团体发动机喷管性能分析

概述了国外大型固体发动机喷管所用的主要材料及质量特性、喷管效率等性能。分析了采用可延伸出口锥的优越性，并结合我国情况，为缩小差距，提出了所应采取措施的建议。     

空间拦截智能自适应变结构导引规律研究

结合空间拦截的精确末制导问题，本文介绍了一种对目标机动和参数摄动具有鲁棒性的自适应结构制导律（ＡＶＳＧ）。在此基础上，我们研究了一种智能自适应变结构制方法（ＩＡＶＳＧ）。此方法精略地估计出目标法向加速度的强度，并以此为依据自主地调整ＡＶＳＧ中变结构项的强度，这样，既可以消除视线角速度的抖动，又可以保证制导精度，仿真结果证明了ＩＡＶＳＧ的有效性。