Floor positioning method indoors with smartphone’s barometer

ABSTRACT

This paper presents an indoor floor positioning method with the smartphone’s barometer for the purpose of solving the problem of low availability and high environmental dependence of the traditional floor positioning technology. First, an initial floor position algorithm with the “entering” detection algorithm has been obtained. Second, the user’s going upstairs or downstairs activities are identified by the characteristics of the air pressure fluctuation. Third, the moving distance in the vertical direction and the floor change during going upstairs or downstairs are estimated to obtain the accurate floor position. In order to solve the problem of the floor misjudgment from different mobile phone’s barometers, this paper calculates the pressure data from the different cell phones, and effectively reduce the errors of the air pressure estimating the elevation which is caused by the heterogeneity of the mobile phones. The experiment results show that the average correct rate of the floor identification is more than 85% for three types of the cell phones while reducing environmental dependence and improving availability. Further, this paper compares and analyzes the three common floor location methods – the WLAN Floor Location (WFL) method based on the fingerprint, the Neural Network Floor Location (NFL) methods, and the Magnetic Floor Location (MFL) method with our method. The experiment results achieve 94.2% correct rate of the floor identification with Huawei mate10 Pro mobile phone.     

智能高精地图数据逻辑结构与关键技术

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智能空间决策支持之刍议

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传感器观测服务原型系统的设计与实现

分析传感器网服务体系及传感器观测服务（SOS）的接口规范和数据流程,提出了基于Java企业级体系（J2EE）三层架构的SOS服务原型系统,阐述了SOS服务器端和客户端的设计与实现,介绍了原型系统的主要功能。     

新型宽频带垂直摆倾斜仪的设计及应用

介绍了一种新型宽频带垂直摆倾斜仪的设计原理、技术指标和使用状况,分析了设计和使用中的情况。     

Environmental sensor networks for vegetation,animal and soil sciences

Environmental sensor networks (ESNs) provide new opportunities for improving our understanding of the environment. In contrast to remote sensing technologies where measurements are made from large distances (e.g. satellite imagery, aerial photography, airborne radiometric surveys), ESNs focus on measurements that are made in close proximity to the target environmental phenomenon. Sensors can be used to collect a much larger number of measurements, which are quantitative and repeatable. They can also be deployed in locations that may otherwise be difficult to visit regularly. Sensors that are commonly used in the environmental sciences include ground-based multispectral vegetation sensors, soil moisture sensors, GPS tracking and bioacoustics for tracking movement in wild and domesticated animals. Sensors may also be coupled with wireless networks to more effectively capture, synthesise and transmit data to decision-makers. The climate and weather monitoring domains provide useful examples of how ESNs can provide real-time monitoring of environmental change (e.g. temperature, rainfall, sea-surface temperature) to many users. The objective of this review is to examine state-of-the-art use of ESNs for three environmental monitoring domains: (a) terrestrial vegetation, (b) animal movement and diversity, and (c) soil. Climate and aquatic monitoring sensor applications are so extensive that they are beyond the scope of this review. In each of the three application domains (vegetation, animals and soils) we review the technologies, the attributes that they sense and briefly examine the technical limitations. We conclude with a discussion of future directions.     

基于移动GIS的测绘系统设计与实现

随着智能手机的逐渐普及和ARCGIS Mobile技术的不断发展,在无线通信技术的支撑下,为测绘行业建立基于移动GIS的测绘系统创造了条件。以智能手机为载体,基于ARCGIS Mobile与无线通讯技术相结合,在智能手机平台上实现移动GIS测绘系统,为外业地理信息数据采集提供了方便条件,经试用效果良好。     

一种加窗速度平滑伪距的定位算法

海面传感器网络的跟踪定位受到海浪以及海杂波的影响,难以满足协同观测、协同通信以及协同环境遥感等任务的精度需求,针对这一问题文中提出了加窗径向速度平滑伪距的定位方法(WVSP),并利用MonteCarlo仿真技术分析了该算法应对海杂波和链路测距粗差的定位精度。仿真处理的结果表明:与常用的直接伪距定位法、速度平滑伪距定位法相比较,WVSP能够有效地削弱测距链路中粗差的影响,降低了海杂波的干扰,使定位精度收敛。     

基于ANN-FES的石漠化综合治理智能决策支持系统设计及应用研究

对人工智能技术的两个分支神经网络(ANN)与模糊专家系统(FES)各自的基本工作原理进行了阐述,分析了基于神经网络和模糊专家系统集成的混合系统功能框架,并介绍了系统结构及知识表示、知识获取、知识简化和推理机制等方面的基本方法.在此基础上,以都安石漠化综合治理智能决策为例,提出了基于神经网络和专家系统集成的石漠化智能决策系统的结构.人工神经网络实现石漠化预警分析,预测得到的石漠化危险性指数,最后得出专家系统所需的预警度(无警、轻警、中警和重警).模糊专家系统的推理机通过对神经网络得到的初步数据和其他测量的数据处理,实现系统的综合诊断,最后由治理模式系统确定采用哪种综合治理模式.该方法融合了神经网络自适应学习能力强和模糊专家系统知识表达明确的优点,简化了神经网络学习数据获取及模糊推理规则建立的过程.     

国产光学卫星影像RPC制作

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