中子星性质的模型依赖性

采用相对论平均场理论（RMFT）下的GL85,GL92,TM1和TM2等核物质参数组,研究了这些参数组对中子星的粒子数密度分布、状态方程及质量-半径关系的影响.结果表明,在不同的参数组下,超子出现的密度、顺序和种类均不同;状态方程的软硬情况也较大不同;中子星的引力质量和相应的半径有明显不同.计算结果也表明,采用GL85,TM1和TM2等参数组得到的中子星质量和半径均在脉冲星的观测数据范围内,而采用GL92参数组得到的中子星质量小于中子星质量下限1.4M⊙（M⊙=1.99×1030kg为太阳质量）.     

Predictive Space Weather: An information theory approach

It is rather well recognized that the global dynamics of the Sun–Earth relationship involves complex nonlinear phenomena. Here we present a preliminary attempt to characterize the influence and the timing of the solar magnetic activity on the near-Earth environment, based on quite novel tools based on concepts from information theory.     

An improved α-cut approach to transforming fuzzy membership function into basic belief assignment

In practical applications, pieces of evidence originated from different sources might be modeled by different uncertainty theories. To implement the evidence combination under the Dempster–Shafer evidence theory(DST) framework, transformations from the other type of uncertainty representation into the basic belief assignment are needed. a-Cut is an important approach to transforming a fuzzy membership function into a basic belief assignment, which provides a bridge between the fuzzy set theory and the DST. Some drawbacks of the traditional a-cut approach caused by its normalization step are pointed out in this paper. An improved a-cut approach is proposed, which can counteract the drawbacks of the traditional a-cut approach and has good properties. Illustrative examples, experiments and related analyses are provided to show the rationality of the improved a-cut approach.     

A New Probabilistic Transformation in Generalized Power Space

The mapping from the belief to the probability domain is a controversial issue, whose original purpose is to make (hard) decision, but for contrariwise to erroneous widespread idea/claim, this is not the only interest for using such mappings nowadays. Actually the probabilistic transformations of belief mass assignments are very useful in modern multitarget multisensor tracking systems where one deals with soft decisions, especially when precise belief structures are not always available due to the existence of uncertainty in human being's subjective judgments. Therefore, a new probabilistic transformation of interval-valued belief structure is put forward in the generalized power space, in order to build a subjective probability measure from any basic belief assignment defined on any model of the frame of discernment. Several examples are given to show how the new transformation works and we compare it to the main existing transformations proposed in the literature so far. Results are provided to illustrate the rationality and efficiency of this new proposed method making the decision problem simpler.     

Glacier mapping based on rough set theory in the Manas River watershed

Precise glacier information is important for assessing climate change in remote mountain areas. To obtain more accurate glacier mapping, rough set theory, which can deal with vague and uncertainty information, was introduced to obtain optimal knowledge rules for glacier mapping. Optical images, thermal infrared band data, texture information and morphometric parameters were combined to build a decision table used in our proposed rough set theory method. After discretizing the real value attributes, decision rules were calculated through the decision rule generation algorithm for glacier mapping. A decision classifier based on the generated rules classified the multispectral image into glacier and non-glacier areas. The result of maximum likelihood classification (MLC) was used to compare with the result of the classification based on the rough set theory. Confusion matrix and visual interpretation were used to evaluate the overall accuracy of the results of the two methods. The accuracies of the rough set method and maximum likelihood classification were compared, yielding overall accuracies of 94.15% and 93.88%, respectively. It showed the area difference based on rough set was smaller by comparing the glacier areas of the rough set method and MLC with visual interpreter, respectively. The high accuracy for glacier mapping and the small area difference for glacier based on rough set theory demonstrated that this method was effective and promising for glacier mapping.     

在非英语专业课堂上英语教师的语码转换

基于维索尔伦的语言顺应理论,对非英语专业大学英语课堂中教师的英汉两种语码转换进行了研究。针对非英语专业学生英语学习现状,阐释了英语课堂的英汉语码转换是顺应教学规律、教学任务、教师角色及心理动机的一种教学策略,有利于教学活动的开展,教学任务的完成,课堂纪律的管理以及师生感情的培养。     

灰色关联分析在民航使用困难报告（SDR）分析中的应用

针对国内多数民营航空公司较难量化地、有针对性地降低SDR某一类别或某几类事件的问题，提出可采用灰色关联分析方法对航空公司的SDR万时率和SDR次数进行分析，并给出了具体计算案例，为民营航空公司提供参考和借鉴。     

大型数控龙门桥式加工中心的研制

针对船舶、航空、轨道交通、核电等行业的大型零件加工需求,研制了大型数控龙门桥式加工中心,3个移动轴行程为3m×5m×0.8m,可实现O.02mm的镗铣加工精度.通过对加工中心若干技术研究集成,使之具备以下重大特点:(1)研究伺服电机解耦控制方法及双驱动同步技术,保证横梁在两侧桥式立柱导轨上的精确同步纵向移动;(2)通过旋转螺母丝杠结构分别独立驱动双主轴头在横梁上的横向移动,实现双主轴独立加工;(3)利用双回转摆动铣头附件及控制系统集成,实现大型零件的五轴数控加工.所研制的加工中心具有工作台承重大、加工效率高、使用方便、自动化程度较高等特点,已成功用于生产.     

灰色层次分析方法在军用航空器需求论证中的应用

从军机的总体效能出发,综合考虑多种因素,建立起军机装备需求论证决策指标体系,运用灰色系统的相关理论和结合层次分析法,构建了基于灰色层次理论的新一代军机需求论证决策模型,通过实例计算表明这种模型的有效性和实用价值.     

Nb基合金中氧原子扩散及团簇化的第一性原理

利用第一性原理计算,研究了氧原子在Nb中的扩散现象以及施加应变的影响,并对氧原子在Nb-Ti、Nb-Zr合金中的团簇化进行了计算分析。发现在单向应变下,在平行于应变方向上,氧原子的扩散势垒随着应变的增大不断减小,当应变为10%时,扩散激活能从初始的0.92eV降低至0.5eV左右;在垂直于应变方向上,氧原子更容易扩散至被拉长的八面体间隙中,即单向应变下氧原子会在Nb中沿应变方向聚集排列,这会在实际材料中导致应力的集中。计算研究了氧原子在Nb合金中的团簇化问题,发现在纯Nb中,氧原子倾向于均匀分布而不是形成氧原子对;添加合金元素Ti和Zr后,随着氧原子浓度的升高,氧原子对将在合金元素周围形成,Zr周围氧原子对的形成可使体系的能量降低0.29eV。