MINIMUM ATTRIBUTE CO-REDUCTION ALGORITHM BASED ON MULTILEVEL EVOLUTIONARY TREE WITH SELF-ADAPTIVE SUBPOPULATIONS

Attribute reduction is an important process in rough set theory.Finding minimum attribute reduction has been proven to help the user-oriented make better knowledge discovery in some cases.In this paper,an efficient minimum attribute reduction algorithm is proposed based on the multilevel evolutionary tree with self-adaptive subpopulations.A model of multilevel evolutionary tree with self-adaptive subpopulations is constructed,and interacting attribute sets are better decomposed into subsets by the self-adaptive mechanism of elitist populations.Moreover it can self-adapt the subpopulation sizes according to the historical performance record so that interacting attribute decision variables are captured into the same grouped subpopulation,which will be extended to better performance in both quality of solution and competitive computation complexity for minimum attribute reduction.The conducted experiments show the proposed algorithm is better on both efficiency and accuracy of minimum attribute reduction than some representative algorithms.Finally the proposed algorithm is applied to magnetic resonance image(MRI)segmentation,and its stronger applicability is further demonstrated by the effective and robust segmentation results.     

旋转叶片尾缘通道的换热特性

用实验的方法研究了旋转和静止状态下带交错肋和柱肋的涡轮叶片尾缘通道的换热特性.通道截面为楔形,交错肋段上下表面肋错开布置,节距比约为7,柱肋段包含大小两排扰流柱.在实验雷诺数为6 100~33 000,旋转数0~0.6的工况下对比分析了尾缘通道交错肋段和柱肋段的旋转静止换热特性.研究结果表明:静态下,交错肋段前后缘面存在换热差异,且该差异沿程减小;在交错肋充分发展段,旋转增强了后缘面的换热,削弱了前缘面的换热;交错肋段前后缘面叶间处换热旋转下均得到增强;旋转下柱肋段的过渡段尺度减小,换热最强点向低半径处偏移.     

高超音速作战系统试验与鉴定技术研究

以美国高超音速作战系统发展为背景,概要分析了吸气式高超音速作战系统作战需求,重点研究了发展和部署吸气式高超音速作战系统所需的一体化试验与鉴定技术,提出了高超音速作战系统试验与鉴定能力建设的基本途径。     

基于模型的系统工程在民机领域的应用

介绍了在民用飞机系统顶层设计中基于模型的系统工程方法的应用.该流程由需求分析、功能分析和设计综合阶段构成.对每一个用例的功能分析中得到活动图、顺序图和可执行的状态机.执行状态机可验证需求的符合性,同时形成系统功能和非功能性需求.储存在数据库中的需求逐条与模型元素建立链接关系,保证可追溯性.黑盒模型完成之后,将功能与流程分配系统架构中,形成子系统白盒模型和子系统接口.相比传统设计方法,该流程更好地保证了系统可测试性、可追溯性和功能的完整性.     

先进镁合金材料及其在航空航天领域中的应用

文章介绍了上海交通大学轻合金精密成型国家工程研究中心在先进镁合金材料与成型工艺的研究进展,重点介绍了JDM1和JDM2两种镁合金新材料的显微组织与强化机制,详细介绍了涂层转移精密铸造技术、大型铸件低压铸造技术、大型锻件成型技术和表面超声波阳极氧化技术等4种镁合金成型新工艺,最后介绍了JDM1和JDM2合金及成型新工艺在我国航空航天领域中的应用。     

复合材料散斑检测中的小波降噪技术

电子剪切散斑干涉检测技术非常适宜复合材料的无损检测。但散斑图像往往含有较大的噪声,如何对散斑图像进行降噪处理是一个非常重要的问题。小波变换是变分辨率的分析方法,可以有效地降低噪声,而同时又较好地保存了图像细节,本文应用小波降噪技术来对散斑图像进行降噪处理,取得了较好的效果。     

Deramp range migration processing for space-borne spotlight synthetic aperture radar

The deramp range migration algorithm (DRMA) for space-borne spotlight synthetic aperture radar (SAR) is presented, which is based on the two-step algorithm and range migration algorithm. The presented algorithm combines the advantages of SPECAN algorithm and range migration algorithm. Firstly, the presented algorithm performs a bulk azimuth raw data compression to achieve a pixel spacing no larger than the expected azimuth resolution of the fully focused image. Therefore, the azimuth spectral folding phenomenon is overcome. Secondly, the residual and precise focusing of the synthetic aperture radar data is achieved by applying the range migration algorithm. The space-borne SAR focusing parameters’ computation is also described in the paper. At the end of this paper, results are presented which confirm the validity of the presented algorithm.     

基于量子傅里叶变换的模式特征提取算法

量子算法由于具有量子态的叠加性、相干性和纠缠性使得它可以解决一些经典NP问题,并且它具有许多传统算法所没有的优点.本文利用量子傅里叶变换提出了一个模式特征提取算法,它借助量子并行特性只需进行一次量子傅里叶变换就可以提取模式特征,所以它提取模式特征的速度比传统特征提取算法有了指数级的提高.利用该算法提取出来的特征可以进行模式识别或图像识别.本文通过理论推导证明了该算法的可行性,通过简单的模式图验证了该模式特征提取算法的有用性.     

A fast satellite selection algorithm with floating high cut-off elevation angle based on ADOP for instantaneous multi-GNSS single-frequency relative positioning

With the Global Navigation Satellite System (GNSS) developing, the single-frequency single-epoch multiple GNSSs (multi-GNSS) relative positioning has become feasible. Since a larger number of the observed satellites make the instantaneous (single-epoch) positioning time-consuming, a proper satellite selection is necessary. Among the present methods, the satellite selection with a fixed high cut-off elevation angle (CEA) is least time-consuming. However, there is no criterion how large a fixed high CEA should be to achieve a high success rate and less time consumption. Besides, a fixed high CEA makes the number of visible satellites largely variable, which affects the success rate. Hence, a satellite selection strategy based on ambiguity dilution of precision (ADOP) is proposed. Firstly, the theoretical proof that the ADOP increases the least when removing satellites are all low-elevation-angle satellites is given, which is important to achieve the fast positioning with a high success rate. Then, the threshold $\beta$ is calculated for a different number of satellites and a given ADOP. The satellites are selected based on their elevation angles from high to low until $\beta$ of the selected satellites becomes smaller than the corresponding threshold; this method is called the extended floating CEA multi-GNSS (EF-multi-GNSS). The comparison of the single-frequency single-epoch positioning performance of the EF-multi-GNSS with the satellite selections based on a fixed low CEA (L-multi-GNSS) and a fixed high CEA (H-multi-GNSS) via the relative positioning experiments shows that: (1) the EF-multi-GNSS with a minimal number of satellites can achieve the fast positioning and a high success rate close to 100%. It can greatly reduce the time consumption of the L-multi-GNSS, by about 64.0%, by selecting 12.6 satellites of 23.4 satellites; (2) the floating CEA of EF-multi-GNSS eliminates the consideration how large a fixed high CEA should be, and a CEA larger than the fixed high CEA of the H-multi-GNSS makes it more suitable for different conditions.     

水对ＰＡＮ／ＤＭＳＯ／Ｈ２Ｏ的流变行为和原丝性能的影响

研究了水对PAN/DMSO/H2O纺丝液的流变行为和可纺性能的影响.结果表明,在较高的剪切速率下,PAN溶液表现出"切力变稀".而在较低的剪切速率下,随着温度的增加,溶液黏度逐渐变低.水含量对溶液的黏度有较大影响.随着体系中水含量的不同,H2O-PAN之间的水和作用于水的脱溶剂作用之间形成竞争,从而决定黏度的变化.适量水的加入可以提高纤维的力学性能.随着纤维拉伸倍数的增加,聚丙烯腈纤维的断裂强度增加,断裂伸长率下降.在一定的纺丝条件下,随着含水量的增加,纺丝原液的可纺性会降低.而适量的水有利于获得具有弥散状微孔的均一结构的原丝.