Web-based GIS System for Real-time Field Data Collection Using Personal Mobile Phone

Recently, use of mobile communicational devices in field data collection is increasing such as smart phones and cellular phones due to emergence of embedded Global Position System GPS and Wi-Fi Internet access. Accurate timely and handy field data collection is required for disaster management and emergency quick responses. In this article, we introduce web-based GIS system to collect the field data by personal mobile phone through Post Office Protocol POP3 mail server. The main objective of this work is to demonstrate real-time field data collection method to the students using their mobile phone to collect field data by timely and handy manners, either individual or group survey in local or global scale research.

Optimizing Data Collection Path in Sensor Networks with Mobile Elements

Exploiting mobile elements （MEs） to accomplish data collection in wireless sensor networks （WSNs） can improve the energy efficiency of sensor nodes, and prolong network lifetime. However, it will lead to large data collection latency for the network, which is unacceptable for data-critical applications. In this paper, we address this problem by minimizing the traveling length of MEs. Our methods mainly consist of two steps： we first construct a virtual grid network and select the minimal stop point set （SPS） from it; then, we make optimal scheduling for the MEs based on the SPS in order to minimize their traveling length. Different implementations of genetic algorithm （GA） are used to solve the problem. Our methods are evaluated by extensive simulations. The results show that these methods can greatly reduce the traveling length of MEs, and decrease the data collection latency.

Reactive data collection protocol using mobile sink in wireless sensor network

We suggest event collection protocol in a specific region where sensors are deployed to detect and collect events.In the traditional multi-hop routing in wireless sensor networks reporting events to a sink node or base-station will cause imbalanced energy consumption of static sensors.To solve this problem,we use mobile sink.In this paper,we study the design of efficiency routing protocol for supporting efficient data collecting in mobile sink wireless sensor networks(mWSNs).We suggest the following two main ideas.First,we use reactive protocol to cut off unnecessary delay.Mobile sink makes a path to access to sensor node.Second,we model mobile sink movement depending on data frequency,so we can reduce moving distance efficiently.We simulate this protocol and compare it with the traditional method.Simulation results show this protocol reduces distance significantly and is suitable for mWSNs with heavy traffic.

Anonymous data collection scheme for cloud-aided mobile edge networks

With the rapid spread of smart sensors,data collection is becoming more and more important in Mobile Edge Networks(MENs).The collected data can be used in many applications based on the analysis results of these data by cloud computing.Nowadays,data collection schemes have been widely studied by researchers.However,most of the researches take the amount of collected data into consideration without thinking about the problem of privacy leakage of the collected data.In this paper,we propose an energy-efficient and anonymous data collection scheme for MENs to keep a balance between energy consumption and data privacy,in which the privacy information of senors is hidden during data communication.In addition,the residual energy of nodes is taken into consideration in this scheme in particular when it comes to the selection of the relay node.The security analysis shows that no privacy information of the source node and relay node is leaked to attackers.Moreover,the simulation results demonstrate that the proposed scheme is better than other schemes in aspects of lifetime and energy consumption.At the end of the simulation part,we present a qualitative analysis for the proposed scheme and some conventional protocols.It is noteworthy that the proposed scheme outperforms the existing protocols in terms of the above indicators.

Utility-Improved Key-Value Data Collection with Local Differential Privacy for Mobile Devices

The structure of key-value data is a typical data structure generated by mobile devices.The collection and analysis of the data from mobile devices are critical for service providers to improve service quality.Nevertheless,collecting raw data,which may contain various per⁃sonal information,would lead to serious personal privacy leaks.Local differential privacy(LDP)has been proposed to protect privacy on the device side so that the server cannot obtain the raw data.However,existing mechanisms assume that all keys are equally sensitive,which can⁃not produce high-precision statistical results.A utility-improved data collection framework with LDP for key-value formed mobile data is pro⁃posed to solve this issue.More specifically,we divide the key-value data into sensitive and non-sensitive parts and only provide an LDPequivalent privacy guarantee for sensitive keys and all values.We instantiate our framework by using a utility-improved key value-unary en⁃coding(UKV-UE)mechanism based on unary encoding,with which our framework can work effectively for a large key domain.We then vali⁃date our mechanism which provides better utility and is suitable for mobile devices by evaluating it in two real datasets.Finally,some pos⁃sible future research directions are envisioned.

Energy-Efficient Mobile Data Collection Adopting Node Cooperation in an Underwater Acoustic Sensor Network

This paper considers an underwater acoustic sensor network with one mobile surface node to collect data from multiple underwater nodes,where the mobile destination requests retransmission from each underwater node individually employing traditional automatic-repeat-request(ARQ) protocol.We propose a practical node cooperation(NC) protocol to enhance the collection efficiency,utilizing the fact that underwater nodes can overhear the transmission of others.To reduce the source level of underwater nodes,the underwater data collection area is divided into several sub-zones,and in each sub-zone,the mobile surface node adopting the NC protocol could switch adaptively between selective relay cooperation(SRC) and dynamic network coded cooperation(DNC) .The difference of SRC and DNC lies in whether or not the selected relay node combines the local data and the data overheard from undecoded node(s) to form network coded packets in the retransmission phase.The NC protocol could also be applied across the sub-zones due to the wiretap property.In addition,we investigate the effects of different mobile collection paths,collection area division and cooperative zone design for energy saving.The numerical results showthat the proposed NC protocol can effectively save energy compared with the traditional ARQ scheme.

Energy Optimization in Multi-UAV-Assisted Edge Data Collection System

In the IoT(Internet of Things)system,the introduction of UAV(Unmanned Aerial Vehicle)as a new data collection platform can solve the problem that IoT devices are unable to transmit data over long distances due to the limitation of their battery energy.However,the unreasonable distribution of UAVs will still lead to the problem of the high total energy consumption of the system.In this work,to deal with the problem,a deployment model of a mobile edge computing(MEC)system based on multi-UAV is proposed.The goal of the model is to minimize the energy consumption of the system in the process of data transmission by optimizing the deployment of UAVs.The DEVIPSK(differential evolution algorithm with variable population size based on a mutation strategy pool initialized by K-Means)is proposed to solve the model.In DEVIPSK,the population is initialized by K-Means to obtain better initial positions of UAVs.Besides,considering the limitation of the fixed mutation strategy in the traditional evolutionary algorithm,a mutation strategy pool is used to update the positions of UAVs.The experimental results show the superiority of the DEVIPSK and provide guidance for the deployment of UAVs in the field of edge data collection in the IoT system.

非霍奇金淋巴瘤患者自体外周血造血干细胞动员采集的影响因素分析

目的:分析非霍奇金淋巴瘤患者自体外周血造血干细胞动员采集的影响因素。方法:收集西安交通大学第一附属医院血液内科2011年1月至2020年6月共计85例行自体外周血造血干细胞动员采集的非霍奇金淋巴瘤患者临床资料。采用单因素和多因素分析性别、年龄、疾病分型、Ann Arbor分期、移植前状态、国际预后指数评分、动员前化疗次数及动员方案对造血干细胞采集效果的影响。结果:单因素分析发现患者年龄、疾病分型、分期、动员前状态与动员采集CD34^(+)细胞数、动员采集成功率无相关性(P>0.05);男性患者CD34^(+)细胞数多于女性(P=0.01);动员前化疗周期≤4次是采集的有利因素(P<0.05);CHOP-E及CHOP-MTX联合G-CSF动员方案均可作为自体外周血造血干细胞有效的动员方案。多因素结果显示采集前化疗周期数是影响造血干细胞采集成功的独立因素,动员前化疗周期>4次是造血干细胞能否采集成功的不良因素。结论:CHOP-MTX+G-CSF动员方案比较CHOP-E+G-CSF采集CD34^(+)细胞数更多。男性患者、动员采集前化疗周期数较少时更有利于NHL患者自体外周血造血干细胞动员采集。

基于移动端管线内外业一体化数据采集整理系统研究

在分析地下管线外业数据采集、内业数据整理的工作流程并对其充分理解的基础上,采用基于Android的移动平台规范化采集管线数据,通过数据组织,在外业采集完成阶段就完成管线数据生产的绝大部分工作,省去内业大量展点编绘属性录入和整理的工作,实现管线数据作业效率的提升。

佛山地区固定献血屋与流动献血车献血工作成效分析

目的 分析固定献血屋与流动献血车在佛山地区无偿献血工作中的成效。方法 随机抽选佛山市街头流动献血车与献血屋各4个,对其2022年8月—2023年8月各类调查数据进行分析。结果 固定献血屋单点日均采血量为(59.63±5.54)U,固定献血者比例为(22.45±1.31)%,均高于流动献血车的(50.17±5.13)U、(18.03±1.25)%(P <0.05);献血不良反应发生率为(0.21±0.05)%,低于流动献血车的(0.95±0.12)%(P <0.05);工作人员对固定献血屋总满意度为100%,高于流动献血车的85.71%(P <0.05);献血者对固定献血屋总满意度为97.88%,高于流动献血车的89.64%(P <0.05)。结论 佛山地区无偿献血工作中固定献血屋与流动献血车相比单点日均采血量与固定献血者比例均更高,且工作人员与献血者满意度也更高,因此日后需要对献血屋和献血车进行改进,提高固定献血率。

基于Android平台的地理实习数据采集系统设计

【目的】为满足地理实习中空间数据实时采集与管理的需求,提升野外实习工作效率,研发了一套基于Android平台的地理实习数据采集系统。【方法】在地理实习教学需求分析的基础上,以Android智能手机为移动终端,基于客户端—服务器体系结构的分布式模式,利用ArcGIS Runtime SDK for Android二次开发接口集成Android开发、物联网数据实时采集、SQLite数据库以及移动地图展示等移动GIS技术进行系统设计与研发。【结果】实现了用户登录、地图浏览、地理位置获取与显示、地理要素采集与管理、现场照片上传、退出系统等功能,并应用于地理实习教学。【结论】该系统不仅可用于地理实习、野外调查等场景,而且可用于实时采集、存储和显示地理数据。此外,该系统还具有较好的可扩展性和兼容性,也可以适用于其他外业工作场景。

基于移动GIS的地球化学野外采集系统的设计与实现

在传统地球化学野外调查工作中,尤其在样品数量多、自然环境恶劣的工区,采集工具携带不便、内业数据整理过程繁琐势必会影响地球化学野外调查的质量和精度。地球化学野外调查的信息化和智能化是时代的要求,更是方法技术发展的必然趋势。本文综合移动GIS技术、数据库等技术,映照地球化学野外调查工作的流程,基于ArcGIS和Android平台研发了一套涵盖工作布置、野外采集以及质量检查等功能的地球化学野外调查软件。系统实现了地球化学野外调查全流程的信息化和智能化,改变了地球化学野外数据的采集方式,节省了一线野外工作的时间,提高了内业数据整理的效率以及野外调查信息的质量和精度,推动了地球化学野外调查的数字化进程。

An intelligent active probing and trace-back scheme for IoT anomaly detection

Due to their simple hardware,sensor nodes in IoT are vulnerable to attack,leading to data routing blockages or malicious tampering,which significantly disrupts secure data collection.An Intelligent Active Probing and Trace-back Scheme for IoT Anomaly Detection(APTAD)is proposed to collect integrated IoT data by recruiting Mobile Edge Users(MEUs).(a)An intelligent unsupervised learning approach is used to identify anomalous data from the collected data by MEUs and help to identify anomalous nodes.(b)Recruit MEUs to trace back and propose a series of trust calculation methods to determine the trust of nodes.(c)The last,the number of active detection packets and detection paths are designed,so as to accurately identify the trust of nodes in IoT at the minimum cost of the network.A large number of experimental results show that the recruiting cost and average anomaly detection time are reduced by 6.5 times and 34.33%respectively,while the accuracy of trust identification is improved by 20%.

基于ArcGIS Mobile野外数据采集系统的设计与实现

本文结合ArcGIS Mobile二次开发、GIS技术、GPS技术和嵌入式技术,研发了一套基于ArcGIS Mobile,且具备地图定点、数据采集、示意图绘制、数据存储等功能的野外数据采集系统.该系统具有灵活的任务单定制、动态界面控制等特点,能适应于多种业务领域的野外数据采集工作.

城市建设用地信息监管系统设计与实现

城市化进程加剧了城市土地利用格局变化,城市建设用地占比逐步提升,衍生了城市建设用地监管系列需求。为此,分析建设用地信息监管业务需求,利用B/S,C/S混合架构设计并实现城市建设用地信息监管系统,实现建设用地空间数据智能治理与精准管理,可为我国国土资源相关行业提供技术参考。

基于ArcGIS Mobile技术的移动设备数据采集系统的设计与实现

介绍了基于ArcGIS Mobile技术的移动设备数据采集、更新系统的开发技术和实现方法;实现了空间数据浏览、查询、编辑及多媒体数据的采集、GPS导航以及与数据库同步更新等功能。

截图收集管理系统的设计方案研究

基于SSM(Spring+Spring MVC+My Batis)框架构建一个移动端截图收集系统,解决教师在收集学生反馈截图时所面临的繁琐问题,以简化流程,减少时间和人力消耗。利用互联网的高效率和开放性,借助移动端实现即用即走的模式,系统基于SSM框架开发一款运行于移动端的Web应用程序。采用在线收集和云端托管的方式,有效减轻教师在截图收集和管理方面的压力。

激活人民创造性:中国共产党领导中国式现代化的深层逻辑

推动现代化的要义在于激活人民创造性。在传统社会与近代中国,弱组织化的中国人民几乎没有现代化意识,人民创造性亦未得到充分发挥。救亡图存推动了现代启蒙。中国共产党通过建构适应现代化变迁的新型现代国家和社会结构摆脱了这种困境。在新中国,聚合了最广大人民衷心认同的中国共产党将中国人民凝聚成有机整体,通过新型现代国家和社会结构实现以“先觉觉后觉”,以社会主义集中力量办大事制度实现集体动员。在此过程中,中国人民逐步习得现代化理念,社会主义现代化的共识高度统一,人民磅礴的创造性得以发挥,由此中国式现代化取得显著成就。中国共产党领导的兼顾形式合理性与实质合理性的中国式现代化道路,成功克服了后发国家现代化转型的障碍,拓展了现代化的新路。