旋转变压器误差补偿技术及应用

分析了多极旋转变压器的误差特性,介绍了误差补偿原理及方法,并通过 试验,验证了误差补偿方法的正确性及可行性。本方法适用于惯导系统及转台的角度转 换,可有效提高转换精度。     

多媒体煤矿安全监测管理系统研究

介绍了现有的煤矿安全监测和安全考勤管理系统的特点及缺陷，探讨了如何将多媒体计算机技术应用于煤矿安全监测管理系统。该系统具有实时监视、紧急救援和事故分析三大特点。     

智能材料在微机械中的应用及发展

论述了微机械的发展现状,综述了硅、形状记忆合金、压电陶瓷、超磁致伸缩等智能材料在微型机械中的最新应用及发展趋势。提出了智能材料结构在微型机械中应用的几个关键问题。     

公差课教材改革势在必行

本文论述现用《公差》教材存在的弊端，从改革高等教育的高度提出某些改进措施。     

离子非线性极化漂移对动力学Alfvén孤波特性的影响

考虑离子极化漂移中非线性项对动力学Alfven孤波特性的影响，采用双流体模型研究磁化等离子体中低频动力学Alfven稀疏型孤波的特性，所得的结果表明，两种类型的动力学Alfven稀疏型孤波在磁层中大范围内均存在（参数β约为10^-6,0,1,β为等离子体的热压之磁压之比，即β＝20μ0nT/B0^2)，它们或以超Alfven速或以亚Alfven速传播。同时发现在β值较小（10^-6-10^-4)时，离子极化漂移非线性项对动力学Alfven孤波特性有较大的影响，不可忽略，而在较大值时（β－0．1），此修正作用不大，由于动力学Alfven孤波允许平行电场存在，故它对等离子体中带电粒子的加速和能化起重要作用。同时也对离子的横向加速有一定的作用，它使一种新的能量转换机制成为可能。     

现代超声工业测量的若干发展

超声波在工业测量领域中的可用性非常广。目前，由于现代电子技术与微机技术的飞速发展；这种可用性得到愈来愈多的体现。本文简要介绍了超声波技术在若干方面的研究进展，其中包括：高精度声速测量，材料应力测量，化工过程检测及超声谱分析技术。     

成组技术中计算机辅助零件分类方法的探讨

成组技术是有效实现CAD/CAM的基础之一,是提高多品种、中小批量生产水平的重要手段。本文提出了在成组技术中应用模糊数学理论进行计算机辅助零件分类的新方法,并对回转零件进行了分类试验,取得了满意的结果。采用这种方法,不需要对零件进行编码,可以对零件相似性进行定量分析,使得零件分类更具有柔性,为成组技术中零件分类提供了新的方法。     

有攻角细长旋成体极端地面效应分析

本文用匹配摄动方法研究了细长旋成体贴近地面运动时诱导的不可压缩势流问题,它是经典细长体理论的推广和发展。文中将流场分为内外两个渐近区域,建立了问题的匹配摄动理论,并利用文献[1]中的双圆诱导不可压缩势流的精确解,给出了该问题的首阶解析解。然后又导出了细长体上的吸力和俯仰力矩的计算公式。在此基础上,文中对细长旋成体极端地面效应的运动学规律和动力学规律作了定性和定量两个方面的分析。     

Comparison of observed ionospheric vertical TEC over the sea in Indian region with IRI-2016 model

The vertical ionospheric TEC values obtained from GAGAN grid based ionospheric delay correction values over the sea in the Indian equatorial region have been compared with the corresponding values derived from the International Reference Ionosphere model, IRI-2016. The objective of this work is to study the deviation of the vertical TEC derived from the IRI model from ground truths over the sea for different conditions. This will serve the basic intention of assessing the candidature of the IRI model as an alternative ionospheric correction model in navigation receivers in terms of accuracy. We have chosen different solar activity periods, seasons, geomagnetic conditions, locations etc. for our comparison and analysis. The TEC values by the IRI-2016 were compared with the actual measured values for the given conditions and errors were obtained. The measured vertical TEC values at the ionospheric grid points were derived from the GAGAN broadcast ionospheric delay data and used as reference. The IRI model with standard internal functions was used in estimating the TEC at the same ionospheric grid points. The errors in the model derived values are statistically analysed. Broadly, the results show that, for the Indian sector over the sea, the IRI model performs better on quiet days in off equatorial regions, particularly in the northern region. The overall performance degrades for other conditions with the model generally underestimating the true TEC values and most severely in the equatorial region. The performance is worst in this region for the disturbed days of the equinoctial period. The comparison study is also done with the TEC data measured directly by dual frequency GPS receivers. The results were found to be in general agreement with those obtained by comparing the model with GAGAN broadcast data as reference. This study will be useful in considering the IRI-2016 model for real time estimates of TEC as an alternative to the current parametric model in a satellite navigation receiver in absence of other options.     

A modern robust approach to remotely estimate chlorophyll in coastal and inland zones

The chlorophyll concentration of a water body is an important proxy for representing the phytoplankton biomass. Its estimation from multi or hyper-spectral remote sensing data in natural waters is generally achieved by using (i) the waveband ratioing in two or more bands in the blue-green or (ii) by using a combination of the radiance peak position and magnitude in the red-near-infrared (NIR) spectrum. The blue-green ratio algorithms have been extensively used with satellite ocean color data to investigate chlorophyll distributions in open ocean and clear waters and the application of red-NIR algorithms is often restricted to turbid productive water bodies. These issues present the greatest obstacles to our ability to formulate a modern robust method suitable for quantitative assessments of the chlorophyll concentration in a diverse range of water types. The present study is focused to investigate the normalized water-leaving radiance spectra in the visible and NIR region and propose a robust algorithm (Generalized ABI, GABI algorithm) for chlorophyll concentration retrieval based on Algal Bloom index (ABI) which separates phytoplankton signals from other constituents in the water column. The GABI algorithm is validated using independent in-situ data from various regional to global waters and its performance is further evaluated by comparison with the blue-green waveband ratios and red-NIR algorithms. The results revealed that GABI yields significantly more accurate chlorophyll concentrations (with uncertainties less than 13.5%) and remains more stable in different waters types when compared with the blue-green waveband ratios and red-NIR algorithms. The performance of GABI is further demonstrated using HICO images from nearshore turbid productive waters and MERIS and MODIS-Aqua images from coastal and offshore waters of the Arabian Sea, Bay of Bengal and East China Sea.