Grid pattern recognition in road networks using the C4.5 algorithm

Pattern recognition in road networks can be used for different applications, including spatiotemporal data mining, automated map generalization, data matching of different levels of detail, and other important research topics. Grid patterns are a common pattern type. This paper proposes and implements a method for grid pattern recognition based on the idea of mesh classification through a supervised learning process. To train the classifier, training datasets are selected from worldwide city samples with different cultural, historical, and geographical environments. Meshes are subsequently labeled as composing or noncomposing grids by participants in an experiment, and the mesh measures are defined while accounting for the mesh’s individual characteristics and spatial context. The classifier is generated using the C4.5 algorithm. The accuracy of the classifier is evaluated using Kappa statistics and the overall rate of correctness. The average Kappa value is approximately 0.74, which corresponds to a total accuracy of 87.5%. Additionally, the rationality of the classifier is evaluated in an interpretation step. Two other existing grid pattern recognition methods were also tested on the datasets, and comparison results indicate that our approach is effective in identifying grid patterns in road networks.     

Enhanced fault detection and exclusion based on Kalman filter with colored measurement noise and application to RTK

GPS Solutions - The tropospheric delay is an important error source in the Global Positioning System (GPS) positioning and navigation applications. Although most of the tropospheric delays can be...     

同ENSO现象相关联的日长亚季节变化

本文利用小波分析方法研究了地球自转日长亚季节近50天和近120天周期变化的时频特征．结果表明,日长近120天周期变化及近50天周期变化的振幅具有明显的年际变化．ENSO事件发生之前,日长近50天周期变化加强,进入ENSO时期,逐渐减弱,成为ENSO产生的先兆之一,同时,日长近120天周期变化显著增强80年代,日长近50天周期变化明显发生了两次周期分岔分岔的一种趋势经历了一个周期延长的过程,收敛于ENSO时期增强的近120天周期变化,该过程不仅与ENSO现象相关联而且可能受到近10年波动的调制作用.同时证实了日长近120天周期变化及近50天周期变化的激发机制主要是同频段的大气环流变化所导致。     

Model of wind-generated ambient noise in stratified shallow water

In order to build a rapid ocean ambient noise model adapted for a stratified shallow water, a hybrid model of normal mode method (for far field) and ray method (for near field) is suggested which combines the advantages of both methods. Since the near field of wind-generated noise is not sensitive to the sound speed profile, the sound speed profile is regarded as a constant; which makes the model rapid and accurate. The simulation results are in agreement with those of the wave model.     

上高县紫皮大蒜种植气候适宜性区划

基于紫皮大蒜生长周期和当地农业气象条件,得到上高县紫皮大蒜气候适宜性指标：10—11月的最低气温、10月至次年4月的平均气温和平均降水量以及2—4月的累计日照时数。利用1970—2020年宜春市和新余市辖区内共12个地面观测站的气象资料,采用GIS建立上高县紫皮大蒜种植区划因子地理空间分析模型。依据分区等级指标,将上高县划分为最适宜、一般适宜和不适宜3个紫皮大蒜气候种植区。     

帕米尔东北缘穷阿木太克岩体年代学、地球化学特征及地质意义

分布于帕米尔东北缘羌塘地块上的穷阿木太克岩体,与班公湖怒江洋的闭合有着密切关系。岩体主要由英云闪长岩、花岗闪长岩和二长花岗岩组成。LA-ICP-MS锆石U-Pb测年结果显示,穷阿木太克岩体的形成年龄为(107.0±1.2) Ma(MSWD=0.55),属于早白垩世晚期。地球化学结果显示,主量元素具有富Ca、富K、富碱等特点,岩石Al含量较高,为弱过铝质花岗岩系列,具典型的钙碱性特征。稀土元素具有轻稀土富集、重稀土亏损的右倾型特征,并显示弱的负铕异常。微量元素表现出大离子亲石元素Rb、Th、U、K高度富集和高场强元素Nb、Ta、Ti、Hf强烈亏损。岩石在成因上可能是地壳下部基性岩石经熔融或部分熔融作用形成的。结合本区所处的构造环境,早白垩世晚期穷阿木太克岩体可能形成于羌塘地块与冈底斯地块之间同碰撞(挤压环境)向碰撞后(伸展环境)的转化阶段,为后造山花岗岩类,岩石系列从早到晚由中钾钙碱性系列向钾玄岩系列演化。     

天文观测科学实践中心技术实现

天文观测科学实践中心是一个以天文观测为核心的网络实践体验中心,以网站的形式向公众提供服务。网站建设使用HTML、CSS、JavaScript和JSP/JaveBean等技术;基于B/S结构实现望远镜远程控制;采用Windows Media技术实现视频发布。建成的网站为用户提供了全新的天文观测实践体验机会,达到了传播天文知识的目的。     

boldmath Investigation of inter-molecular hydrogen bonding in the binary mixture (acetone + water) by concentration dependent Raman study and ab initio calculations

This paper reports that vibrational spectroscopic analysis on hydrogen-bonding between acetone and water comprises both experimental Raman spectra and ab initio calculations on structures of various acetone/water complexes with changing water concentrations. The optimised geometries and wavenumbers of the neat acetone molecule and its complexes are calculated by using ab initio method at the MP2 level with 6-311+G(d,p) basis set. Changes in wavenumber position and linewidth (fullwidth at half maximum) have been explained for neat as well as binary mixtures with different mole fractions of the reference system, acetone, in terms of intermolecular hydrogen bonding. The combination of experimental Raman data with ab initio calculation leads to a better knowledge of the concentration dependent changes in the spectral features in terms of hydrogen bonding.     

A method for absorption compensation based on adaptive molecular decomposition

In this paper, we present a new method for seismic stratigraphic absorption compensation based on the adaptive molecular decomposition. Using this method, we can remove most of the effects resulting from wavelets truncation and interference which usually exist in the common time-frequency absorption compensation method. Based on the assumption that the amplitude spectrum of the source wavelet is smooth, we first construct a set of adaptive Gabor frames based on the time-variant properties of the seismic signal to transform the signal into the time-frequency domain and then extract the slowly varying component (the wavelet’s time-varying amplitude spectrum) in each window in the time-frequency domain. Then we invert the absorption compensation filter parameters with an objective function defined using the correlation coefficients in each window to get the corresponding compensation filters. Finally, we use these filters to compensate the time-frequency spectrum in each window and then transform the time-frequency spectrum to the time domain to obtain the absorption-compensated signal. By using adaptive molecular decomposition, this method can adapt to isolated and overlapped seismic signals from the complex layers in the inhomogeneous viscoelastic medium. The viability of the method is verified by synthetic and real data sets.