Comets and Chemical Composition

It is commonly believed that comets are made of primordial material. As a consequence, they can reveal more information about the origin of our solar system. To interpret the coma composition measurements of comet Churyumov–Gerasimenko that will be collected by the Rosetta mission, models of the coma chemistry have to be constructed. However, programming the chemistry of a cometary coma is extremely complex due to the large number of species and reactions involved. Moreover, such a program needs to be very flexible as one may want to extend, change, or update the set of species, reactions, and reaction rates. Therefore, we developed software to manage a database of species and reactions and to generate code automatically to compute source/loss balances. This database includes the data from the UMIST database and the ion–molecule reactions collected by V.G. Anicich. To use all these databases together, a lot of practical problems need to be solved, but the result is an enormous source of information about chemical reactions that can be used in chemical models, not only for comets but also for other applications.     

一种基于迁移学习的遥测数据异常检测方法

为解决卫星遥测数据异常检测面临的数据不平衡且缺乏有标签样本的问题，提出一种基于一维卷积神经网络(1dCNN)迁移学习的异常检测方法。首先利用源域卫星的遥测数据对1dCNN进行预训练，使得模型的卷积层具有卫星状态特征的提取能力；然后将训练好的模型迁移到缺乏标签数据的目标域卫星中；利用目标域有标签样本对预训练模型进行微调，从而实现了对目标域测试集样本的异常检测。为了使1dCNN能够适应遥测数据样本的不平衡性，引入了代价敏感训练策略，建立动态损失函数，从而提升代价敏感一维卷积神经网络(cs 1dCNN)对于异常样本的识别能力。以某两个卫星的电源分系统遥测数据进行了验证，实验结果表明该异常检测迁移方法具有较好的有效性和鲁棒性。     

ALTEA: anomalous long term effects in astronauts. A probe on the influence of cosmic radiation and microgravity on the central nervous system during long flights.

The ALTEA project participates to the quest for increasing the safety of manned space flights. It addresses the problems related to possible functional damage to neural cells and circuits due to particle radiation in space environment. Specifically it aims at studying the functionality of the astronauts' Central Nervous Systems (CNS) during long space flights and relating it to the peculiar environments in space, with a particular focus on the particle flux impinging in the head. The project is a large international and multidisciplinary collaboration. Competences in particle physics, neurophysiology, psychophysiology, electronics, space environment, data analyses will work together to construct the fully integrated vision electrophysiology and particle analyser system which is the core device of the project: an helmet-shaped multi-sensor device that will measure concurrently the dynamics of the functional status of the visual system and passage of each particle through the brain within a pre-determined energy window. ALTEA is scheduled to fly in the International Space Station in late 2002. One part of the multi-sensor device, one of the advanced silicon telescopes, will be launched in the ISS in early 2002 and serve as test for the final device and as discriminating dosimeter for the particle fluences within the ISS.     

天津市宏观税收负担问题实证分析

采用计量分析方法对天津市1978～2005年数据区间的财政收入与经济总量、宏观税负与经济增长之间的关系进行研究。在结合天津市经济发展、税收增长、产业结构变化等实际情况的基础上，试图通过揭示变量之间的数量关系来印证和探寻天津市宏观税负与地区经济发展之间的关系。发现改革开放以来，天津总体税负适度，宏观税负呈下降趋势，但滨海新区的开发将为天津提供充足的税源，因而宏观税负会有所回升；20世纪90年代以来，天津第三产业发展迅速，第三产业对经济的贡献度与宏观税负的变化呈正向反应机制，而第二产业对GDP的贡献比重总体呈下降趋势；与其他直辖市相比，天津的宏观税负水平居于中游。     

中国沪深股市中羊群行为检验

分散度检验法和横截面收益绝对差检验法是检验证券市场中羊群行为的两种方法。运用这两种方法对中国证券市场进行实证分析，结果表明：在中国的证券市场中确实存在着明显的羊群行为。     

考虑非线性扭转影响的薄壁梁翘曲特性分析

 考虑翘曲和大扭角变形的影响,研究薄壁梁结构轴向与扭转非线性耦合弹性变形问题。忽略高阶非线性的影响,结合升阶谱有限元方法,形成对称的非线性几何矩阵,从而建立一个稳定的非线性方程数值解模型。针对矩形截面薄壁梁结构,通过与线性结果对比,分析非线性对截面翘曲正应力、自由端转角的影响。     

基于服务发现的网络性能测量系统体系结构研究

 在分析现有网络性能测量技术的基础上, 提出了一种新型的面向服务的网络性能测量系统的体系结构, 旨在将网络性能测量作为网络基础设施的一个组成部分, 为用户提供基于服务发现的透明访问。介绍了该系统的体系结构以及主要组件的系统设计。     

STATCOM装置主电路的设计

电力系统中要求电压稳定度和无功功率满足一定的技术指标，利用带独立直流电源的级联式多电平逆变器和多电平逆变器最优化谐波台阶式调制技术(OHSW)设计的STATCOM装置，可以使电力系统中的电压得到稳定以及无功功率和谐波得到有效补偿。本文主要介绍了STATCOM装置主电路的设计，主电路是STATCOM装置与系统进行交换有功功率与无功功率的环节。该装置具有输出谐波含量低、损耗小、性能可靠等优点。