Hierarchical object oriented classification using very high resolution imagery and LIDAR data over urban areas

Urban land cover information extraction is a hot topic within urban studies. Heterogeneous spectra of high resolution imagery—caused by the inner complexity of urban areas—make it difficult. In this paper a hierarchical object oriented classification method over an urban area is presented. Combining QuickBird imagery and light detection and ranging (LIDAR) data, nine kinds of land cover objects were extracted. The Spectral Shape Index (SSI) method is used to distinguish water and shadow from black body mask, with 100% classification accuracy for water and 95.56% for shadow. Vegetation was extracted by using a Normalized Difference Vegetation Index (NDVI) image at first, and then a more accurate classification result of shrub and grassland is obtained by integrating the height information from LIDAR data. The classification accuracy of shrub was improved from 85.25% to 92.09% and from 82.86% to 97.06% for grassland. More granularity of this classification can be obtained by using this method. High buildings and low buildings can, for example, be distinguished from the original building class. Road class can also be further classified into roads and crossroads. The comparison of the classification accuracy between this method and the traditional pixel-based method indicates that the total accuracy is improved from 69.12% to 89.40%.     

Scale analysis of pre- and post-midnight ESF bubbles at storm time and quiet time

This paper adopts a scale analysis technique to investigate the properties of intermediate-scale plasma structures observed by ROCSAT-1 in the equatorial F-region. A procedure of scale analysis that is developed via the empirical mode decomposition (EMD) method of Hilbert–Huang transform (HHT) technique allows the mutually correlated components in velocity, density and relative density gradient to be identified and extracted. Comparing the three parameters, good match in wave form is found for density and velocity in the scales between kilometers and hundred meters (few kilometers to 300 m). It implies that there are electric fields proportional to density fluctuation −δn/n in the form similar to what is expected for the generalized Rayleigh–Taylor instability. We find that such a one-to-one match holds for various pre- and post-midnight ESF bubbles during quiet and storm times. It, therefore, means that spatial structures of electric field in the intermediate-scale (300 m to few kilometers) correlates to the density structures in a manner of δE ∝  −δn/n that is not necessarily depending on the driving mechanism of ESF bubbles, although it is known that ESF bubbles can be driven by different mechanisms under different space weather conditions. In smaller scales (300–50 m), fluctuation patterns of density and velocity do not correlate to each other any more, the good match is then found in the density gradient ∇_xn/n and velocity. It is known as the manifestation of the Boltzmann relation. We note that the GRT instability related relationship δV_z ∝  −δn/n for irregularities in scale of kilometers holds only for ESF bubbles that occur within ±5 dip latitude, while the Boltzmann relation (δV_z proportional to ∇_xn/n) holds for small-scale irregularities without such a limitation.     

Dry Grinding of Titanium Alloy Using Brazed Monolayer cBN Wheels Coated with Graphite Lubricant

The purpose of this study is to investigate the effect of graphite lubricant on the dry grinding performance of Ti-6Al-4Valloy,using graphite-coated,brazed monolayer,cubic boron nitride(cBN)wheels.Brazed monolayer cBN wheels both with and without a coating of polymer-based graphite lubricant are fabricated and subsequently compared for grinding performance based on measurements of grinding temperature,surface microstructure and grinding.In terms of grinding temperature,considerable improvement in dry grinding performance of titanium alloy is achieved using coated brazed monolayer cBN wheels,with 42%—47%reduction in grinding temperature as opposed to uncoated wheels.The grinding force ratio with the coated wheels is observed to remain between 1.45to1.85despite material removal rates reaching up to 1 950mm3/mm.No tangible change in ground titanium surface microstructure is noted as a result of grinding with the graphite coated wheels as opposed to the uncoated ones.     

Enhanced multipath mitigation method based on multi-resolution CNR model and adaptive statistical test strategy for real-time kinematic PPP

This study proposes an enhanced multipath mitigation method based on multi-resolution carrier-to-noise-ratio (CNR) model and adaptive statistical test strategy for real-time kinematic precise point positioning (PPP) applications. The multi-resolution CNR model is established with GPS observation data collected from DOY 152 to 181 of 2019 by 230 globally distributed IGS stations, which used to analyze the relevant factors affecting CNR. Statistical results indicate that the CNR is not only related to the satellite elevation, but also closely related to the receiver types and specific satellite. The maximum difference between different receivers can reach 20 dB for the same satellite at the same elevation. In addition, the performance of the CNR is also obviously different between each satellite, and the maximum difference between different satellites is about 10 dB for the same receiver at the same elevation. Hence, in terms of the method which is based on CNR information for multipath detection and mitigation, the independence of receiver types, satellite and frequency must be considered. With the above analysis, this study developed a multi-resolution CNR model based on different receiver types, different satellites and different elevation firstly. Then, combined with the adaptive statistical test strategy which is based on the difference of CNR between inter-frequency and the difference of CNR between adjacent epochs, the multipath can be detected effectively. For the epoch which affected by multipath, the down-weighted strategy based on CNR is adopted to mitigate the influence of multipath on positioning. Real-time kinematic PPP data are collected to assess the proposed method, and the results demonstrate that the proposed method can detect the multipath effectively, and the detection rate can reach 90.28%. Moreover, after adopting the mitigation strategy, the RMS bias of the east, north and up components are improved about 19.95%, 17.89% and 23.07% compared to the original results, respectively. It is worth noting that this proposed method is also suitable for other GNSS, such as GLONASS and BDS, but the corresponding CNR model must be established simultaneously.     

A parameterized geometry design method for inward turning inlet compatible waverider

Intensive studies have been carried out on generations of waverider geometry and hypersonic inlet geometry. However, integration efforts of waverider and related air-intake system are restricted majorly around the X43A-like or conical flow field induced configuration, which adopts mainly the two-dimensional air-breathing technology and limits the judicious visions of developing new aerodynamic profiles for hypersonic designers. A novel design approach for integrating the inward turning inlet with the traditional parameterized waverider is proposed. The proposed method is an alternative means to produce a compatible configuration by linking the off-the-shelf results on both traditional waverider techniques and inward turning inlet techniques. A series of geometry generations and optimization solutions is proposed to enhance the lift-to-drag ratio. A quantitative but efficient aerodynamic performance evaluation approach （the hypersonic flow panel method） with lower computational cost is employed to play the role of objective function for opti- mization purpose. The produced geometry compatibility with a computational fluid dynamics （CFD） solver is also verified for detailed flow field investigation. Optimization results and other numerical validations are obtained for the feasibility demonstration of the proposed method.     

提高UV-LIGA制备金微细零件的尺寸精度研究(英文)

在众多影响UV-LIGA(Ultra-violet lithography Galvanik abformung)技术制备微细金属零件尺寸精度的因素中,SU-8胶溶胀性是最主要的。通常采用隔离带方法降低SU-8胶的溶胀性,以提高电铸微细零件的尺寸精度。由于贵重金属会沉积到隔离带内,造成了贵重金属的浪费,增加制造成本,因此该方法不适合贵重金属微细零件制造。针对隔离带方法的弊端,提出了半隔离带方法,在保证电铸微细金属零件尺寸精度的前提下,避免了贵重金属的浪费。另外,还采用电解液喷射方法实现了高电流密度电铸,缩短了电铸时间,进一步提高了电铸微细金属零件的尺寸精度。试验结果表明:采用半隔离带方法和高电流密度,可以有效提高金微细零件的尺寸精度,当电流密度提高到0.6A/dm2,金微细零件的尺寸精度可以达到5μm。     

以《阿Q正传》为例,浅析语料库在文学作品分析中的工具性

利用语料库提取《阿Q正传》中鲁迅描写阿Q时所用的隐喻,从认知的角度考察了这些隐喻的源域。结果表明:作者似乎将阿Q比作一个少不更事的顽童,既可怜,又可悲。还利用语料库考察了阿Q对他人的称呼语,他愤世嫉俗的称呼语背后隐藏的是他的弱者心态。     

基于B/S架构的设备全寿命周期管理系统技术研究

研究了基于B/S架构(Browser/Server结构)的设备全寿命周期管理系统相关技术,论述了构成设备全寿命周期管理系统的架构设计与模块划分。将网络、多媒体、数据库等技术通过计算机软件系统开发的理论、技术和方法建立起的B/S架构应用于航空聚合物基复合材料厂的设备管理。该系统可使相关基础管理工作以信息化手段简化、固化与落实。     

"需求拉动式"航空器材需求预测与控制模式

提出了"需求拉动式"航空器材库存控制模式,建立了基于可靠性分析的航空器材需求预测模型.该模型通过对航空器材使用信息进行可靠性分析,得出零件可靠性寿命函数,并根据给定可靠度下的零件寿命预测航空器材需求时间.最后对视情维护下的周转件需求预测与库存控制进行了案例分析.     

跟进起飞间隔时间的确定

针对歼击机机群跟进起飞的特点，从飞机尾涡的形成和发展入手，研究近地条件下的尾涡运动规律，导出了导涡的诱导速度和漂移速度计算公式。并根据起飞过程中，后机受前机尾涡的影响范围仅局限于跑道宽度范围之内，对歼击机跟进起飞间隔时间的确定方法和影响因素进行了分析，为各型歼击机跟进起飞安全提供了理论依据。所得结论经过飞行验证，符合实际。