用于频率域航空电磁数据的二维自动调平

研究了频率域航空电磁数据的自动调平问题.提出了一种基于一维、二维滤波处理的二维自动调平算法.零漂具有随机性且一般变化缓慢,二维滤波处理可从航电数据中求出包含局部异常和零漂的中间结果,一维滤波处理能从中间结果中求出零漂主要成分,二者结合就能从航电数据中除去大部分零漂误差.该算法只需输入简单的处理参数,实际数据处理结果表明它比以往的调平方法计算速度快、调平效果好、人为因素对结果的影响小,可有效除去零漂造成的"窗帘效应",提高视电阻率和平面剖面图质量.二维自动调平算法为频率域航空电磁数据的零漂调平提供了新的处理手段.     

横断山南部边缘地区蝶类调查研究

横断山南部边缘地区调查获得蝶类258种,隶属于10科,128属.其中蛱蝶最多,为65种;其次是灰蝶和弄蝶,分别是51种和50种,这3科蝴蝶占总数约2/3(166/258).优势种12个(4.7%)、常见种91个(35.3%)、少见种43个(16.7%)、罕见种112个(43.3%);个体数分布的规律接近对数级数法则.仅3个横断山特有种符合本调查区域处于边缘的性质,东洋种占总数的79.1%,说明了本地区蝴蝶东洋区的基本属性.     

模糊聚类在地层分析中的应用研究

通常对原始资料进行地层的划分与合并依靠工程师个人的经验与习惯.提出了一种改进后的FCM法,并给出了迭代公式和相应算法.改进后的FCM法可用于对土层的分类,同时给出一种按照模糊贴近度大小进行土层归并分类的方法,使得土层的归并划分更有理论依据.     

我国化学化工领域毕业生及学位授予情况的调研与分析

本文基于对我国化学化工领域2006-2010年间本科生、硕士研究生和博士研究生培养情况的调研数据,分析了不同学位层次毕业生数量变化趋势、毕业生在各学科门类及培养单位的分布情况,进而讨论了我国化学化工领域学生培养的结构特点及人才队伍趋势.     

甘肃省陇南市药用动物资源调查与评价

陇南市位于甘肃南部,属北亚热带、暖温带和中温带重叠的季风区,雨量充沛,温暖湿润,境内自然环境优越,生态系统类型多样,生物资源种类繁多.通过对全市药用动物的调查,有野生药用动物有野生药用动物50目101科141属184种,其中无脊椎动物25目52科60属82种,脊椎动物25目49科81属102种.药用动物养殖业发展不平衡...     

海南省老年人体质现状调查分析

为了解和掌握海南省老年人的体质现状,通过对海南省4个监测点840名男女性老年人的身体形态、生理机能、身体素质的各项指标以及城乡老年人体质的比较分析,揭示了男女性老年人群各年龄段的体质状况和变化规律.     

闽南地区农村住宅安全性现状及防灾建议

在对厦门市海沧区近9 000栋农村住宅的安全性和耐久性现状普查基础上,分析该地区农村住宅的结构类型分布特点和不同类型房屋的安全性等级分布.针对该地区农村住宅存在的安全性和耐久性问题,提出该地区农村住宅防御自然灾害,特别是防御地震灾害的相关建议.     

The Role of Survey Data in Nowcasting Euro Area GDP Growth

This paper evaluates the impact of new releases of financial, real activity and survey data on nowcasting euro area gross domestic product (GDP). We show that all three data categories positively impact on the accuracy of GDP nowcasts, whereby the effect is largest in the case of real activity data. When treating variables as if they were all published at the same time and without any time lag, financial series lose all their significance, while survey data remain an important ingredient for the nowcasting exercise. The subsequent analysis shows that the sectoral coverage of survey data, which is broader than that of timely available real activity data, as well as their information content stemming from questions focusing on agents' expectations, are the main sources of the ‘genuine’ predictive power of survey data. When the forecast period is restricted to the 2008–09 financial crisis, the main change is an enhanced forecasting role for financial data. Copyright © 2015 John Wiley & Sons, Ltd.     

风机振动分析与故障诊断

应用振动分析方法、数据采集技术及诊断理论对某乙烯厂Ｅ－ＧＢ１０９风机进行了现场振动测量、信号的采集与分析诊断,找出了风机振动的原因。     

Overreaction in Survey Exchange Rate Forecasts

We use survey data on five bilateral exchange rates to provide empirical evidence of the fact that professional forecasters of foreign exchange rates behave irrationally, in the specific sense that they respond inaccurately to available information in the market when forming their predictions. In particular, we find systematic biases in the forecasts resulting in the overreaction of analysts to past information contained in the exchange rate dynamics: forecasters change their prediction more than it would be rational on the basis of past realized changes. In addition, forecasters are heterogeneous in their irrationality: low performers in previous periods show a more pronounced overreaction effect. This can be read as an indication of perpetration of past errors and continued inability to learn from the past. In the second part of the paper, we exploit the novel structure of our dataset, which consists of survey data extracted from the Bloomberg platform and readily available to anyone. This feature allows us to consider their own and others' past forecasts as part of the information set that analysts use in making their predictions. By using past forecasts as proxies for relevant macroeconomic variables, we find evidence that analysts fail to correctly process not only the information contained in the spot rate past dynamics but also the information in this broader set. We see this as confirmation of the existence of inefficiency and heterogeneity between low and high performers also when full information is available. Copyright © 2014 John Wiley & Sons, Ltd.