关键词： Tectonic geomorphology   River basins   Morphometry   Lithological control  

摘要： Morphometric properties of drainage basins, expressed as indices related to their shapes, altitude variability, river networks and stream profiles, are frequently used as proxy information concerning the relative intensity of uplift. Research procedures lead towards division of an area into classes of relative tectonic activity (various rates of surface uplift) and are typically based on compound indices that jointly consider various individual parameters. Given that index approaches are quantitative in nature and comprise large sets of data, their statistical treatment should become an inherent component of the workflow, whereby the results of the statistical analyses should guide the conclusions. However, various data handling issues seem to be seldom addressed or are given inadequate attention. They include selection of variables, correlation analysis, principles of classification in terms of relative tectonic activity, validity of classifications, and criteria for using specific statistical procedures. In this paper we demonstrate the need for rigorous statistical data analysis in a morphometric study, focused on an intraplate mountainous terrain in Central Europe (Orlickie-Bystrzyckie Mountains Block), subject to low or moderate uplift. We analysed 56 drainage basins within the footwall blocks of several prominent fault-generated escarpments. Following literature guidance, the hypsometric and shape characteristics of the drainage basins were considered, whereas clustering and pure-rank based approaches were tested to distinguish classes of relative tectonic activity. The results were compared with indicators of tectonic activity calculated for the escarpments themselves and using DEM-derived terrain attributes indicating enhanced erosion. In addition, we used statistical tests to identify possible lithological influence on the variability of morphometric parameters, which in this study was found to be of secondary importance. Statistical considerations neither

关键词： Upper-Division Undergraduate   Chemoinformatics   Interdisciplinary/Multidisciplinary   Computer-Based Learning   Chemometrics   Computational Chemistry  

摘要： Machine learning, a subdomain of artificial intelligence, is a widespread technology that is molding how chemists interact with data. Therefore, it is a relevant skill to incorporate into the toolbox of any chemistry student. This work presents a workshop that introduces machine learning for chemistry students based on a set of Python notebooks and assignments. Python, one of the most popular programming languages, is open source, free to use, and has plenty of learning resources. The workshop is designed for students without previous experience in programming, and it aims for a deeper understanding of the complexity of concepts in programming and machine learning. The examples used correspond to real data from physicochemical characterizations of wine, a content that is of interest for students. The contents of the workshop are introduction to Python, basic statistics, data visualization, and dimension reduction, classification, and regression.

关键词： 光固化   位置敏感器件   液位检测   积分放大器   分段滤波  

摘要： 精确测量光固化成型设备中光敏树脂的液面位置是确保成型精度的关键,根据激光三角法原理设计基于PSD的液位检测系统,采用点激光和一维位置敏感器件组成液位检测系统。通过测量点激光在PSD上的位移量来获取液面位置的变化量,在分析PSD误差特点基础上,通过优化结构设计、信号采集、检测系统标定和实时数据处理4个方面来提高检测精度。实际测试表明:液位检测系统量程中间位置的误差小于0.27%,两边误差小于0.4%,可满足系统测量精度要求。

关键词： 高层建筑物   沉降监测   回归分析   数据处理  

摘要： 针对建筑物变形监测的数据处理问题,本文基于Matlab提出了几种拟合模型对所得的沉降数据进行分析、预测。本文以某高层建筑物变形监测数据为例,经基准点检查和三点修匀法对原始数据处理以后,通过模型预测分析得出高层建筑物沉降特征与规律。实验结果表明,使用指数函数模型拟合出的实际效果能够更加准确地分析高层建筑物的沉降变形。

关键词： 道路工程   探地雷达   无损检测   路面隐性病害   数据处理  

摘要： 概述了探地雷达现场检测布置方式和关键参数的设置,并基于专业Reflexw数据处理软件,对原始数据滤波处理方法进行了详细探究,结合工程实例中积累的大量雷达检测图像,着重对沥青路面典型隐性病害特征进行分析,并通过现场取芯,验证了探地雷达识别的准确性。研究结果表明,使用探地雷达可有效实现对路面结构内部隐性病害的无损探测。

关键词： 频率   无线电监测   数据处理分析   GIS  

摘要： 为监测民航空管设备电磁环境,该文基于无线电开场测试方法,研发设计了空管无线电监测与分析系统。该系统对空管设备环境的电磁信号进行采集与测量,计算频域、时域的参数特性,结合地理信息等数据融合,展示信号定位结果,分析设备台站状态,经数据比对反映出设备性能及周围环境的变化趋势。系统的应用可为民航空管部门提供设备运维、频率规划和台址选择等方面的参考依据。

关键词： 计算机系统结构   存储单元   存储器   数据处理   逻辑单元   AI   冯·诺伊曼   四十年代  

摘要： 存算一体技术是新的AI芯片方向,它可以整合逻辑单元和存储单元,直接在存储单元内部运算,缓解数据搬运问题,降低能耗。上世纪四十年代,冯·诺伊曼架构开启了计算机系统结构发展的先河。在传统冯·诺伊曼架构下,计算和存储分离。不管处理器运行多快、性能多好,每次执行运算时都需要把数据从存储器搬到处理器中,数据处理完再搬回到存储器。

关键词： 无人机遥感技术   ArcGIS   林业   江西省抚州市  

摘要： 林业系统是社会可持续建设和生态环境建设的重要物质基础,是国家生态体系的重要组成部分。国内的林业系统发展仍然处于转型阶段,为了确保林业的长期发展,需要引进以无人机遥感和ArcGIS为代表的先进技术。阐述无人机遥感技术和ArcGIS系统的概念,结合实例分别对其在林业系统中的应用进行了分析总结。

关键词： 镱原子光钟   FPGA控制系统   数据处理   机器学习  

摘要： 高精度光钟被认为是广义相对论验证,相对论测地学以及暗物质探测的重要工具.镱原子光钟是目前国际上稳定度最好的光钟,通过36 h的平均可以进入10^(-19)的量级.控制系统是镱原子光钟的重要组成部分,它主要负责光钟系统的时序控制.本文提出一种基于Python语言支持的现场可编程门阵列(FPGA)控制系统,通过编译和调用Python程序包在FPGA上运行,用来产生光钟运行过程所需的各种控制信号,以及对镱原子光钟工作过程中获取的数据进行存储和后期处理.研究结果表明:基于FPGA控制系统的数据处理可以完全匹配传统Matlab和Origin软件的数据处理方法,获取μK量级冷原子的温度和Hz量级的钟跃迁谱线宽;另外,对复杂钟跃迁谱线实现高斯基函数的多峰拟合,通过与早期实验过程中噪声分析建立的数据库进行比对,用来作为光钟运行的过程分析和故障诊断,有助于未来将机器学习引入高精度原子光钟的数据处理用来实现引力波以及暗物质的探测.

关键词： JOPENS测震系统   数据管理   C/S构架   测震台站  

摘要： 测震台站安装升级JOPENS6.0测震系统,省局台网中心部署服务器通过C/S构架进行数据统一管理。通过C/S构架对测震台站数据进行管理,台网给各台站配备用户,分配用户权限,各台站用户权限可以调用台站数据,分析地震和提交编目,并实时汇集到中心服务器。