无人机航姿数据采集与存储系统设计

航姿数据是一项很重要的飞行数据,也是无人机进行自动控制必不可少的一项数据。文章针对目前无人机存在现状,提出了一种基于微惯性传感器的航姿数据采集思路,完成系统所需要的硬件选择以及板卡的硬件电路设计,成功地将飞行过程中的航姿原始数据进行实时采集并保存。     

基于PixelGrid的无人机影像DEM精度评价

无人机低空遥感在小范围大比例尺地形绘制领域效果优良,文章基于PixelGrid软件,提出了一种无人机航测影像DEM数据快速、高精度生产流程,并利用具体无人机测绘数据进行演示,最后通过与实际测量数据进行对比验证,结果表明文章采用的方法满足精度要求。     

基于科学知识图谱的外语学习策略探究

文章通过CiteSpace可视化软件,绘制2009—2018近10年我国有关外语学习策略文献的关键词共现视图等知识图谱,阅读相关文献并进行分析,可以发现近10年的研究热点主题是学习策略、自主学习、英语学习、英语成绩、综合语言运用能力及学习者。研究不断深化,但依然存在不足,文章就此提出了研究展望。     

基于都市战略的襄阳旅游转型发展研究

依托古隆中与襄阳古城的观光旅游,已是襄阳旅游业的名片。伴随旅游业新态势、鄂西旅游圈推进和构建省域副中心、都市襄阳的重大战略机遇期,襄阳旅游业转型发展成为旅游业升级与城市转型的产业支撑。基于襄阳旅游业的发展历程及其与城市互动发展的机理,提出创新旅游产品、衍生旅游产业价值链、形成科学旅游空间结构、强化全球行销等构建都市襄阳战略的旅游产业转型路径。     

基于协整模型的农副食品加工业季度固定资产投资分析

建立了我国农副食品加工业2004～2010年季度固定资产投资规模与行业主营业务利润率、全国居民季度食品消费总支出,两种价格条件下的系统模型。发现固定资产投资规模与行业主营业务利润率、全国居民季度食品消费总支出的不同滞后期值之间存在"协整"关系,据此解释了农副食品加工业近年来固定资产投资规模与行业主营业务利润率"同涨"的原因。     

基于GIS的城市地价评估信息系统研究与应用

国家一系列政策密集出台,对地价评估提出了更高要求。在此背景下,地价所为加强宗地地价评估业务管理,提升估价技术水平和成果质量,迫切需要开发能适合自身需求的基于GIS的城市地价评估信息系统。文章详细分析了地价所与中介机构地价评估信息系统区别,并结合地价所特点进行了系统设计开发。该系统已在多家机构成功应用,在地价评估、出让底价讨论、土地市场分析等方面发挥了重要作用。     

基于出租车GPS数据的城市人群出行模式研究

道路拥堵、打车难等城市交通问题是当下交通资源约束城市发展的集中体现。海量的出租车GPS数据中蕴含着人们出行的规律、模式,可以为城市交通规划的科学化、合理化提供重要参数依据。文章从数据分析角度,利用成都市滴滴平台开放数据对市民一周内乘坐出租车的出行行为在时间上和空间上的规律与模式进行了全面剖析,结果较为符合成都市居民的出行习惯和作息规律,并针对性地提出建议,为成都市交通建设及管理提供一定参考。     

Structural change in Malawi since independence: Consequences of a development strategy based on large-scale agriculture

This paper investigates the nature of the structural change which has occured in the Malawian economy since independence and identifies key policies pursued by the government which it is argued have been decisive in shaping this development. The salient feature of structural change is shown to be the rapid growth of large-scale agriculture, associated with an equally rapid transfer of labour into wage employment and a decline in the importance of peasant production. The implications of these changes for living standards and future development and policy are considered.     

Hidden inequality in household electricity consumption: Measurement and determinants based on large-scale smart meter data

Existing studies provide the estimates of climate change's impact on energy consumption, yet little attention has been paid to inequality based on fine-grained data. This paper takes advantage of the large-scale smart meter data to investigate the electricity consumption inequality and adaptation vulnerability issues. We find that there is a serious inequality underestimation issue arising from annual aggregate data. An average of 8.39% of the inequality is hidden every quarter, while the monthly hidden value reached 13.41% due to the seasonal offset effects. This inequality is the robust nonlinear inverted-N shaped relationship with temperature, which implies that the cold temperatures have a more severe impact on social inequality issues than hot. For cold days, one additional day in the range < 30 °F would result in an increase of 3.05% electricity consumption inequality. We also find households in high inequality cities have worse response ability when facing extreme temperature, indicating poor will suffer more from extreme temperature exposure. Policies to address climate-induced inequality issues would be more efficient if more attention be paid to the poor in cold winter.