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A balanced decomposition approach to real-time visualization of large vector maps in CyberGIS

Frontiers of Computer Science 2015年第3期9卷 442-455页

作者： mingqiang guo Ying HUANG Zhong XIE Faculty of Information and Engineering China University of Geosciences Wuhan 430074 China Geographic Information Systems Software and Application Project Research Center of the Educational Department China University of Geosciences Wuhan 430074 China

With the dramatic development of spatial data in- frastructure, CyberGIS has become significant for geospatial data sharing. Due to the large number of concurrent users and large volume of vector data, CyberGIS faces a great chal- lenge in how to improve performance. The real-time visual- ization of vector maps is the most common function in Cyber- GIS applications, and it is time-consuming especially when the data volume becomes large. So, how to improve the effi- ciency of visualization of large vector maps is still a signif- icant research direction for GIScience scientists. In this re- search, we review the existing three optimization strategies, and determine that the third category strategy （i.e., parallel optimization） is appropriate for the real-time visualization of large vector maps. One of the key issues of parallel optimiza- tion is how to decompose the real-time visualization tasks into balanced sub tasks while taking into consideration the spatial heterogeneous characteristics. We put forward some rules that the decomposition should conform to, and design a real-time visualization framework for large vector maps. We focus on a balanced decomposition approach that can assure efficiency and effectiveness. Considering the spatial hetero- geneous characteristic of vector data, we use a ＂horizontal grid, vertical multistage＂ approach to construct a spatial point distribution information grid. The load balancer analyzes the spatial characteristics of the map requests and decomposes the real-time viewshed into multiple balanced sub ***, all the sub viewsheds are distributed to multiple server nodes to be executed in parallel, so as to improve the real- time visualization efficiency of large vector maps. A group of experiments have been conducted by us. The analysis results demonstrate that the approach proposed in this research has the ability of balanced decomposition, and it is efficient and effective for all geometry types of vector data.

关键词： real-time visualization large vector map bal-anced decomposition CyberGIS load balance

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A geospatial service composition approach based on MCTS with temporal-difference learning

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High Technology Letters 2021年第1期27卷 17-25页

作者： Zhuang Can guo mingqiang Xie Zhong School of Geography and Information Engineering China University of GeosciencesWuhan 430074P.R.China National Engineering Research Center for GIS Wuhan 430074P.R.China

With the complexity of the composition process and the rapid growth of candidate services,realizing optimal or near-optimal service composition is an urgent ***,the static service composition chain is rigid and cannot be easily adapted to the dynamic Web *** address these challenges,the geographic information service composition(GISC) problem as a sequential decision-making task is *** addition,the Markov decision process(MDP),as a universal model for the planning problem of agents,is used to describe the GISC ***,to achieve self-adaptivity and optimization in a dynamic environment,a novel approach that integrates Monte Carlo tree search(MCTS) and a temporal-difference(TD) learning algorithm is *** concrete services of abstract services are determined with optimal policies and adaptive capability at runtime,based on the environment and the status of component *** simulation experiment is performed to demonstrate the effectiveness and efficiency through learning quality and performance.

关键词： geospatial service composition reinforcement learning(RL) Markov decision process(MDP) Monte Carlo tree search(MCTS) temporal-difference(TD)learning

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A spatial decomposition approach for accelerating buffer analysis of vector data

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High Technology Letters 2020年第4期26卷 455-459页

作者： Li Xiaohua guo mingqiang Qi Xinhong School of Safety Science and Engineering Henan Polytechnic UniversityJiaozuo 454003P.R.China Guizhou Coal Mine Design Research Institute Co. LtdGuiyang 550025P.R.China School of Geography and Information Engineering China University of GeosciencesWuhan 430074P.R.China

Parallel vector buffer analysis approaches can be classified into 2 types:algorithm-oriented parallel strategy and the data-oriented parallel *** methods do not take its applicability on the existing geographic information systems(GIS)platforms into *** order to address the problem,a spatial decomposition approach for accelerating buffer analysis of vector data is *** relationship between the number of vertices of each feature and the buffer analysis computing time is analyzed to generate computational intensity transformation functions(CITFs).Then,computational intensity grids(CIGs)of polyline and polygon are constructed based on the relative *** the corresponding CIGs,a spatial decomposition method for parallel buffer analysis is *** on the computational intensity of the features and the sub-domains generated in the decomposition,the features are averagely assigned within the sub-domains into parallel buffer analysis tasks for load *** with typical regular domain decomposition methods,the new approach accomplishes greater balanced decomposition of computational intensity for parallel buffer analysis and achieves near-linear speedups.

关键词： high performance spatial computing buffer analysis parallel computing load balancing vector data

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Paired regions for shadow removal approach based on multi-features

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High Technology Letters 2023年第2期29卷 174-180页

作者：张之政 guo mingqiang WU Liang HUANG Ying CHEN Xueye Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Natural ResourcesShenzhen 518034P.R.China National Engineering Research Center of Geographic Information System China University of GeosciencesWuhan 430074P.R.China School of Computer Science China University of GeosciencesWuhan 430074P.R.China Wuhan Zondy Cyber Technology Co. Ltd.Wuhan 430074P.R.China

The existence of shadow leads to the degradation of the image qualities and the defect of ground object *** removal is therefore an essential research topic in image processing *** biggest challenge of shadow removal is how to restore the content of shadow areas correctly while removing the shadow in the *** regions for shadow removal approach based on multi-features is proposed, in which shadow removal is only performed on related sunlit *** distance between regions is calculated to find the optimal paired regions with considering of multi-features(texture, gradient feature, etc.) *** in different scenes with peak signal-to-noise ratio(PSNR) and structural similarity(SSIM) evaluation indexes are chosen for *** results are shown with six existing comparison methods by visual and quantitative assessments, which verified that the proposed method shows excellent shadow removal effect, the brightness, color of the removed shadow area, and the surrounding non-shadow area can be naturally fused.

关键词： paired region feature distance texture peak signal-to-noise ratio(PSNR) structural similarity(SSIM)

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SAR image despeckling via Lp norm regularization

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High Technology Letters 2022年第2期28卷 190-196页

作者： HAN Chengde CUI Yingzi HUANG Ying guo mingqiang LIU Zheng WU Liang Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Natural ResourcesShenzhen 518034P.R.China School of Geography and Information Engineering China University of GeosciencesWuhan 430074P R.China Hubei Geomatics Technology Group Stock Co. Ltd..Wuhan 430074P R.China Wuhan Zondy Advanced Technology Institute Co. Ltd.'Wuhan 430074P R'China National Engineering Research Center of Geographic Information System Wuhan 430074P R.China

Synthetic aperture radar(SAR) image despeckling has been an attractive problem in remote *** main challenge is to suppress speckle while preserving edges and preventing unnatural artifacts(such as annoying artifacts in homogeneous regions and over-smoothed edges).To address these problems,this paper proposes a new variational model with a nonconvex nonsmooth Lp(0

关键词： synthetic aperture radar(SAR)image speckle nonconvex nonsmooth regularization variational method alternating direction method of multiplier(ADMM)

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CW-YOLO: joint learning for mask wearing detection in low-light conditions

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Frontiers of Computer Science 2023年第6期17卷 191-193页

作者： mingqiang guo Hongting SHENG Zhizheng ZHANG Ying HUANG Xueye CHEN Cunjin WANG Jiaming ZHANG School of Computer Science China University of GeosciencesWuhan 430074China National Engineering Research Center of Geographic Information System Wuhan 430074China Wuhan Zondy Cyber Technology Co.Ltd. Wuhan 430074China Shenzhen Data Management Center of Planning and Natural Resources Shenzhen 518000China Key Laboratory of Urban Land Resources Monitoring and Simulation(Ministry of Natural Resources) Shenzhen 518000China College of Engineering Boston UniversityBoston 02215USA

1 Introduction With the rapid progress of Artificial Intelligence(AI)technology in object detection and face recognition,deep learning methods for face mask wearing detection have become increasingly mature and continuously take into account the needs of efficiency and ***,these conventional detection methods mostly ignore the complexity of real-world application scenarios,such as extremely darkness and gloomy *** unfavorable conditions lead to a series of image degradations that seriously hamper machine vision *** camera parameter adjustment,auxiliary lighting,or pre-processing enhancement[1]can weaken these negative effects to some extent to promote the detection,they will also result in increased hardware and time costs.

关键词： hardware lighting weather

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Metadata Extended Model Based On Geological Domain Ontology

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Journal of Geographic Information System 2009年第1期1卷 12-16页

作者： Ying HUANG mingqiang guo Xiangang LUO Zhong XIE 不详

The current metadata modeling techniques can not meet the needs of knowledge conception expression, knowledge organization, and metadata semantic consistency in geological domain. This paper introduces ontology and integrates this theory to geological domain metadata modeling. It adopts the first order logic equivalent algorithm and defines the metadata extended model as a quaternion group which is consists of geological term set, geological term definition set, attribute definition set and instance set. It also provides the formal description of each set. Finally the five steps for building geological domain metadata extended model are given. The result presents that this model not only provides the content standards for geological domain knowledge representation and knowledge organization, but also provides the basis for geological domain multi-source data and historical data integration and application in semantic consistency.

关键词： ontology geological domain ontology metadata metadata extended model

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网络环境下矢量数据高效并行可视化方法

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武汉大学学报（信息科学版） 2014年第11期39卷 1382-1386页

作者：郭明强黄颖吴亮谢忠中国地质大学(武汉)信息工程学院湖北武汉430074 教育部GIS软件及其应用工程研究中心湖北武汉430074

针对网络环境下传统的矢量地图可视化模型中矢量数据可视化效率低,地图服务器集群并行处理能力弱的难题,提出一种基于矢量数据要素空间分布的矢量数据高效并行可视化方法。研究了矢量数据空间分布信息的采集、检索和分析原理,重点阐述... 详细信息

针对网络环境下传统的矢量地图可视化模型中矢量数据可视化效率低,地图服务器集群并行处理能力弱的难题,提出一种基于矢量数据要素空间分布的矢量数据高效并行可视化方法。研究了矢量数据空间分布信息的采集、检索和分析原理,重点阐述了矢量数据实时可视化任务的分解与并行处理流程,最终实现了矢量数据的高效并行可视化,达到了充分利用地图服务器集群中并行计算资源的目的。仿真实验结果证明,矢量数据高效并行可视化方法可以提升网络地图服务集群的并行处理能力,满足大用户量并发访问的需求。

关键词：网络地理信息系统网络环境矢量数据可视化并发访问

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WebGIS集群环境下Client主动式负载均衡策略

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武汉大学学报（信息科学版） 2015年第12期40卷 1639-1645页

作者：郭明强吴亮黄颖谢忠赵林中国地质大学(武汉)信息工程学院湖北武汉430074 教育部GIS软件及其应用工程研究中心湖北武汉430074 武汉大学资源与环境科学学院湖北武汉430079

针对现有WebGIS集群环境下负载均衡调度策略的特点和弊端进行分析,提出了WebGIS集群环境下Client主动式负载均衡策略,重点研究了无中心(负载均衡调度中心)的WebGIS集群体系结构和Client主动式任务均衡分解方法,最终实现WebGIS集群环境... 详细信息

针对现有WebGIS集群环境下负载均衡调度策略的特点和弊端进行分析,提出了WebGIS集群环境下Client主动式负载均衡策略,重点研究了无中心(负载均衡调度中心)的WebGIS集群体系结构和Client主动式任务均衡分解方法,最终实现WebGIS集群环境下各服务节点间的负载均衡,解决了传统WebGIS模型中存在的负载均衡调度中心节点请求转发性能瓶颈问题和请求响应延迟问题。最后,使用不同规模大小的并发访问用户进行实验,结果证明,与传统的WebGIS集群环境下负载均衡策略相比,Client主动式负载均衡策略能更有效地缩短服务的平均响应时间,提高WebGIS集群的并发处理能力,且并发访问用户量越大,效果越明显。

关键词： WebGIS 集群负载均衡 Client主动式任务分解

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融入网络GIS的网络安全“未来课堂”教学模式研究

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测绘通报 2015年第9期 131-134页

作者：郭明强谢忠黄颖中国地质大学(武汉)信息工程学院湖北武汉430074 中地数码集团武汉中地数码科技有限公司湖北武汉430074

"Intel未来教育"将海量的计算机资源、人力资源、网络等信息资源有机地利用起来,强调以学为主,以师生、生生互动为主的教学模式,对传统的以讲授为主导的课堂教学产生广泛的影响。本文在对"Intel未来教育"的模式进行分析的基础上,针对目... 详细信息

"Intel未来教育"将海量的计算机资源、人力资源、网络等信息资源有机地利用起来,强调以学为主,以师生、生生互动为主的教学模式,对传统的以讲授为主导的课堂教学产生广泛的影响。本文在对"Intel未来教育"的模式进行分析的基础上,针对目前网络安全课堂教学中存在的弊端,提出了融入网络GIS的网络安全"未来课堂"教学模式;重点对网络安全"未来课堂"中的跨学科融合、协作式学习、翻转课堂、企业联合4个方面进行了研究,以促进学生的自主学习、团队协作、沟通表达和实际动手分析解决问题的能力。

关键词： CyberGIS 网络安全教学未来课堂教学模式

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