Excavation of artificial caverns inside asteroids by leveraging rotational self-energy

Future space ventures will likely require exploitation of near-Earth asteroid resources. Moreover, it can be envisaged that asteroids may host habitats in their interiors. In fact, a cavern inside an asteroid would be a natural radiation shield against cosmic radiation and may also serve as a confined environment for storage of mined material such as water ice or other processed volatiles such as propellants. To this end, this paper proposes to leverage the asteroid rotational self-energy to remove material from the asteroid interiors and create a spherical cavern, by means of the orbital siphon concept. The siphon is a chain of tether-connected payload masses (the asteroid material), which exploits the rotation of the asteroid for the delivery of mass from the asteroid to escape. Under certain conditions the siphon can be initiated to ensure self-sustained flow of mass from the asteroid to escape. A net orbital siphon effect is generated by connecting new payloads at the bottom of the chain while releasing the upper payloads. Key parameters are discussed, such as the required siphon dimension and the maximum size of the internal cavity that can be excavated, as a function of the asteroid rotational period. Moreover, assuming elastic material behaviour, a closed-form expression for the stress tensor is found and a failure criterion is used to identify regions in the asteroid interiors subjected to the larger stresses. It is shown that the conditions for failure are relaxed as the radius of the internal void increases.     

Substitution of satellite-based land surface temperature defective data using GSP method

Land surface temperature (LST) as an important environmental variable provides valuable information for earth environmental system modelling. Currently, LST is obtained through satellite thermal sensors at various spatial and temporal resolutions. Although spatially continuous satellite-based LST measurements are intended to overcome the shortcomings of sparse ground-based LST measurements, LST images often contain anomalous values due to the existence of clouds or sensor malfunctioning. The problem becomes more serious where the users deal with high spatial resolution characterized by low temporal resolution. This study examines the capability of a newly developed graph signal processing (GSP) method using two-dimensional single-date thermal data. For this purpose, four Landsat/TIRS datasets are analyzed. The data of five elliptical regions on thermal images are eliminated and then reconstructed through the GSP method and using the LST values of the enclosing rectangles containing the ellipsoids. The results indicate that the temperature variation determined by the GSP method generally conforms to the original image LST values. According to a correlation test conducted on the original image LST and those obtained through the GSP method, the values vary from 58% to 95%, which is an above-the-average rate (RMSE from 0.69 to 2.27). The statistical analysis of the original image LST in both the elliptical regions and the enclosing rectangles containing the ellipsoids indicates that an increase in the variance of LST data causes an increased error in the calculation of temperature by the GSP method, and vice versa. The results of the analysis of variance (ANOVA) and Duncan test indicated that an increase in the number of the non-zero spectral bins would result in increased RMSE values for all the dates and the regions. Moreover, the model errors were significant at the 0.05 level across all the image date and five elliptical study regions. Based on the results, the use of this method is recommended for the reconstruction of LST missing values, where dissimilarity of atmospheric conditions limits the use of other methods that depend on the time series data of various dates and a great deal of data calculation.     

上市公司财务会计信息披露问题的研究

分析了我国上市公司财务会计信息披露不规范的成因 ,在此基础上 ,提出了规范上市公司财务会计信息披露的有效对策。     

工程陶瓷的加工技术

主要介绍了国内外工程陶瓷特种和常规加工技术的开发及应用近况。     

工业工程在重新规划和改进钣金车间生产现场中的应用

通过分析对比，详细介绍了南飞公司应用工业工程重新规划和改进钣金车间生产现场的作法，以及所取得的技术经济效果。     

胶州湾环境污染—卫星遥感信息分析

陆地卫星主题绘图仪(TM)图象和我国国土普查卫星全景相机照片解译分析与现场调查表明,胶州湾东岸工业废水污染相当严重,主要污染源集中在海泊河、李村河、娄山河以及沧口区沿海一线,污染水带宽达4～7km,在落潮流携带下扩散至湾口外海。由青岛碱厂排污形成的“白滩”污染区现有面积为0.53km~2。青岛市大气污染严重,源自市区的烟羽宽达14km,顺风飘逸远达30km,势必造成酸雨等灾害。     

基于信息熵的飞机相似机型确定方法

参考类似机型的经验是我国目前民用飞机研制的主要途径之一。为了更好地借鉴国内外类似机型的经验,本文提出了一种基于信息熵的类似机型确定方法,该方法应用信息熵理论,直接通过类似机型数据所蕴含的客观信息计算各属性的权重,消除了依靠人为指定权重的主观因素影响。在此基础上,给出了包含有不精确信息属性的相似度的计算方法,最后应用支线飞机实例进行了验证,表明该方法具有较高的客观有效性。     

金融工程对我国国有银行信用风险管理的启示

多年来信用风险都是各国银行所面临的主要风险,由于历史的原因我国国有银行的信用风险管理问题显得更为突出.针对国有银行信用风险管理现状,引入最新的金融工程的方法和理念,从技术创新和制度创新的角度对国有银行的信用风险管理提出建议.     

美国科技文献资源体系建设及启示

介绍了美国联邦政府和国家航空般天局（NASA）科技文献信息资源体系建设，科技信息纲领的内涵、宗旨、任务、目标，实施科技信息纲领的工作程序、组织管理机构，科技信息产品和服务，以及美国国家技术信息服务中心（NTIS）和航空航天科技信息中心（CASI）的运作情况，论述了美国科技文献信息资源在推动科技进步中的作用，并在研究分析的基础上给出了结论。     

基于模糊粗糙集的飞机远程故障诊断模型研究

粗糙集和模糊集结合在飞机故障诊断领域有巨大的发展潜力。针对当前飞机故障诊断中所存在的问题,借助C/S模式,将粗糙集和模糊集结合,提出一种新型的飞机远程故障诊断模型,并且开发出远程诊断系统框架。系统的可行性和有效性得到了飞机故障诊断实例的证实。该系统具有客户端响应快、系统效率高、诊断及时的特点,对于当前民用飞机远程故障诊断具有重要应用价值。