Public Map Service Platforms(PMSPs)provide embedded map services in domains such as forests and rivers.Users from different domains(Domain Users)prefer specific spatial features,and extracting the Browsing Interests o...Public Map Service Platforms(PMSPs)provide embedded map services in domains such as forests and rivers.Users from different domains(Domain Users)prefer specific spatial features,and extracting the Browsing Interests of Domain Users(BIDUs)can help elucidate users’access intentions and provide suitable recommendations.Previous research has found that access frequency of spatial features is an indicator of users’browsing interests;however,highfrequency spatial features are sparsely distributed,resulting in inaccurate extraction of browsing interests.Our objective is to model the spatial co-occurrence of spatial features and employ BIDUs extraction to address this limitation.First,to extract spatial features in tiles,we proposed a k-nearest neighbor method for Point-of-Interest(POI)extraction and a template-based method for Land Uses/Land Covers extraction.Then,we developed the word2vec model to construct a POI semantic space to quantify spatial co-occurrence and employed multi-domain user classification to verify its effectiveness.Finally,a combined word2vec and singular value decomposition model is proposed to perform topic extraction as a representation of BIDUs.Compared with the baseline models,the proposed model integrates spatial co-occurrence from massive POIs to achieve high-accuracy BIDU extraction.Our findings can help construct domain user profiles and support the development of intelligent PMSPs.展开更多
Taking the Ming Tombs Forest Farm in Beijing as the research object,this research applied multi-source data fusion and GIS heat-map overlay analysis techniques,systematically collected bird observation point data from...Taking the Ming Tombs Forest Farm in Beijing as the research object,this research applied multi-source data fusion and GIS heat-map overlay analysis techniques,systematically collected bird observation point data from the Global Biodiversity Information Facility(GBIF),population distribution data from the Oak Ridge National Laboratory(ORNL)in the United States,as well as information on the composition of tree species in suitable forest areas for birds and the forest geographical information of the Ming Tombs Forest Farm,which is based on literature research and field investigations.By using GIS technology,spatial processing was carried out on bird observation points and population distribution data to identify suitable bird-watching areas in different seasons.Then,according to the suitability value range,these areas were classified into different grades(from unsuitable to highly suitable).The research findings indicated that there was significant spatial heterogeneity in the bird-watching suitability of the Ming Tombs Forest Farm.The north side of the reservoir was generally a core area with high suitability in all seasons.The deep-aged broad-leaved mixed forests supported the overlapping co-existence of the ecological niches of various bird species,such as the Zosterops simplex and Urocissa erythrorhyncha.In contrast,the shallow forest-edge coniferous pure forests and mixed forests were more suitable for specialized species like Carduelis sinica.The southern urban area and the core area of the mausoleums had relatively low suitability due to ecological fragmentation or human interference.Based on these results,this paper proposed a three-level protection framework of“core area conservation—buffer zone management—isolation zone construction”and a spatio-temporal coordinated human-bird co-existence strategy.It was also suggested that the human-bird co-existence space could be optimized through measures such as constructing sound and light buffer interfaces,restoring ecological corridors,and integrating cultural heritage elements.This research provided an operational technical approach and decision-making support for the scientific planning of bird-watching sites and the coordination of ecological protection and tourism development.展开更多
虚拟局域网(Virtual Local Area Network,VLAN)扩展技术中的嵌套(QinQ)技术和映射(Mapping)技术更好地解决了传统VLAN在标签数量限制、跨域互通瓶颈、用户隔离等方面的问题。为了探究这两种技术的工作原理与适用场景,利用华为企业网络...虚拟局域网(Virtual Local Area Network,VLAN)扩展技术中的嵌套(QinQ)技术和映射(Mapping)技术更好地解决了传统VLAN在标签数量限制、跨域互通瓶颈、用户隔离等方面的问题。为了探究这两种技术的工作原理与适用场景,利用华为企业网络仿真平台(Enterprise Network Simulation Platform,eNSP)搭建对比实验环境,构建网络拓扑,配置运行命令,验证测试不同终端之间的连通性,数据抓包分析数据标签封装过程,总结不同技术在扩展能力、隔离效果、配置复杂度等方面的区别。实验结果表明,QinQ技术更适用于大规模隔离需求,Mapping技术更适用于跨域网络动态配置场景,二者可以同时应用于1台设备,互补提升了VLAN扩展的灵活性与部署效率。展开更多
地名是基础地理信息,与空间位置具有天然的联系。为满足地名管理信息化建设的需求,本文采用云计算、互联网、地理信息系统(Geographic Information System,GIS)、倾斜摄影、二三维一体化等关键技术,采用地名“一张图”设计思想,建设省/...地名是基础地理信息,与空间位置具有天然的联系。为满足地名管理信息化建设的需求,本文采用云计算、互联网、地理信息系统(Geographic Information System,GIS)、倾斜摄影、二三维一体化等关键技术,采用地名“一张图”设计思想,建设省/市地名公共服务平台,解决地名数据库动态更新、地名信息跨部门共享服务等问题,满足地名公众服务的需求,从而积极发挥地名在社会管理中的作用。展开更多
It is still a laborious work to consult massive multidisciplinary geological maps which are scattered in different geological departments,and hard to give full play to the potential application value of geological map...It is still a laborious work to consult massive multidisciplinary geological maps which are scattered in different geological departments,and hard to give full play to the potential application value of geological map. Along with the network,the development of communication and computer technology,especially with the Web2.0 technology arisen,provides opportunities to the web for sharing of geological maps. Web fast sharing platform of massive geological maps( WSPGM) is based on the Flex technology development,using B/S architecture,with map navigation,search,display,security and other functions of the software system. Through the map pretreatment and asynchronous communication the system can display any size of geological map,and through the range limits,rights management,sharing system and watermark logo to take effective security on geological map. On the basis of this system,with the Jilin University web sharing system of geological map,the system can greatly improve the efficiency of using geological map. for research.展开更多
Designing product platform could be an effective and efficient solution for manufacturing firms. Product platforms enable firms to provide increased product variety for the marketplace with as little variety between p...Designing product platform could be an effective and efficient solution for manufacturing firms. Product platforms enable firms to provide increased product variety for the marketplace with as little variety between products as possible. Developed consumer products and modules within a firm can further be investigated to find out the possibility of product platform creation. A bottom-up method is proposed for module-based product platform through mapping, clustering and matching analysis. The framework and the parametric model of the method are presented, which consist of three steps:(1) mapping parameters from existing product families to functional modules,(2) clustering the modules within existing module families based on their parameters so as to generate module clusters, and selecting the satisfactory module clusters based on commonality, and(3) matching the parameters of the module clusters to the functional modules in order to capture platform elements. In addition, the parameter matching criterion and mismatching treatment are put forward to ensure the effectiveness of the platform process, while standardization and serialization of the platform element are presented. A design case of the belt conveyor is studied to demonstrate the feasibility of the proposed method.展开更多
This paper makes astudy on the interactive digital gener-alization,where map generalizationcan be divided into intellective reason-ing procedure and operational proce-dure,which are done by human andcomputer,respectiv...This paper makes astudy on the interactive digital gener-alization,where map generalizationcan be divided into intellective reason-ing procedure and operational proce-dure,which are done by human andcomputer,respectively.And an inter-active map generalization environmentfor large scale topographic map is thendesigned and realized.This researchfocuses on:①the significance of re-searching an interactive map generali-zation environment,②the features oflarge scale topographic map and inter-active map generalization,③the con-struction of map generalization-orien-ted database platform.展开更多
With the acceleration of intelligent transformation of energy system,the monitoring of equipment operation status and optimization of production process in thermal power plants face the challenge of multi-source heter...With the acceleration of intelligent transformation of energy system,the monitoring of equipment operation status and optimization of production process in thermal power plants face the challenge of multi-source heterogeneous data integration.In view of the heterogeneous characteristics of physical sensor data,including temperature,vibration and pressure that generated by boilers,steam turbines and other key equipment and real-time working condition data of SCADA system,this paper proposes a multi-source heterogeneous data fusion and analysis platform for thermal power plants based on edge computing and deep learning.By constructing a multi-level fusion architecture,the platform adopts dynamic weight allocation strategy and 5D digital twin model to realize the collaborative analysis of physical sensor data,simulation calculation results and expert knowledge.The data fusion module combines Kalman filter,wavelet transform and Bayesian estimation method to solve the problem of data time series alignment and dimension difference.Simulation results show that the data fusion accuracy can be improved to more than 98%,and the calculation delay can be controlled within 500 ms.The data analysis module integrates Dymola simulation model and AERMOD pollutant diffusion model,supports the cascade analysis of boiler combustion efficiency prediction and flue gas emission monitoring,system response time is less than 2 seconds,and data consistency verification accuracy reaches 99.5%.展开更多
Windows CE Platform Builder提供了创建、裁剪和配置Windows CE的所有开发和调试工具,深刻理解和灵活运用Platform Builder的配置文件是定制适合目标平台的Windows CE操作系统的关键。本文详细分析了Platform Builder的各种配置文件,...Windows CE Platform Builder提供了创建、裁剪和配置Windows CE的所有开发和调试工具,深刻理解和灵活运用Platform Builder的配置文件是定制适合目标平台的Windows CE操作系统的关键。本文详细分析了Platform Builder的各种配置文件,同时也对映像文件NK.BIN的编译生成过程进行了深入的分析。展开更多
Air pollution in China covers a large area with complex sources and formation mechanisms,making it a unique place to conduct air pollution and atmospheric chemistry research.The National Natural Science Foundation of ...Air pollution in China covers a large area with complex sources and formation mechanisms,making it a unique place to conduct air pollution and atmospheric chemistry research.The National Natural Science Foundation of China’s Major Research Plan entitled“Fundamental Researches on the Formation and Response Mechanism of the Air Pollution Complex in China”(or the Plan)has funded 76 research projects to explore the causes of air pollution in China,and the key processes of air pollution in atmospheric physics and atmospheric chemistry.In order to summarize the abundant data from the Plan and exhibit the long-term impacts domestically and internationally,an integration project is responsible for collecting the various types of data generated by the 76 projects of the Plan.This project has classified and integrated these data,forming eight categories containing 258 datasets and 15 technical reports in total.The integration project has led to the successful establishment of the China Air Pollution Data Center(CAPDC)platform,providing storage,retrieval,and download services for the eight categories.This platform has distinct features including data visualization,related project information querying,and bilingual services in both English and Chinese,which allows for rapid searching and downloading of data and provides a solid foundation of data and support for future related research.Air pollution control in China,especially in the past decade,is undeniably a global exemplar,and this data center is the first in China to focus on research into the country’s air pollution complex.展开更多
基金supported by the National Natural Science Foundation of China[grant numbers:U20A209141771426]Zhizhuo Research Fund on Spatial-Temporal Artificial Intelligence[grant number ZZJJ202204]LIESMARS Special Research Funding.
文摘Public Map Service Platforms(PMSPs)provide embedded map services in domains such as forests and rivers.Users from different domains(Domain Users)prefer specific spatial features,and extracting the Browsing Interests of Domain Users(BIDUs)can help elucidate users’access intentions and provide suitable recommendations.Previous research has found that access frequency of spatial features is an indicator of users’browsing interests;however,highfrequency spatial features are sparsely distributed,resulting in inaccurate extraction of browsing interests.Our objective is to model the spatial co-occurrence of spatial features and employ BIDUs extraction to address this limitation.First,to extract spatial features in tiles,we proposed a k-nearest neighbor method for Point-of-Interest(POI)extraction and a template-based method for Land Uses/Land Covers extraction.Then,we developed the word2vec model to construct a POI semantic space to quantify spatial co-occurrence and employed multi-domain user classification to verify its effectiveness.Finally,a combined word2vec and singular value decomposition model is proposed to perform topic extraction as a representation of BIDUs.Compared with the baseline models,the proposed model integrates spatial co-occurrence from massive POIs to achieve high-accuracy BIDU extraction.Our findings can help construct domain user profiles and support the development of intelligent PMSPs.
基金Sponsored by Beijing Youth Innovation Talent Support Program for Urban Greening and Landscaping——The 2024 Special Project for Promoting High-Quality Development of Beijing’s Landscaping through Scientific and Technological Innovation(KJCXQT202410).
文摘Taking the Ming Tombs Forest Farm in Beijing as the research object,this research applied multi-source data fusion and GIS heat-map overlay analysis techniques,systematically collected bird observation point data from the Global Biodiversity Information Facility(GBIF),population distribution data from the Oak Ridge National Laboratory(ORNL)in the United States,as well as information on the composition of tree species in suitable forest areas for birds and the forest geographical information of the Ming Tombs Forest Farm,which is based on literature research and field investigations.By using GIS technology,spatial processing was carried out on bird observation points and population distribution data to identify suitable bird-watching areas in different seasons.Then,according to the suitability value range,these areas were classified into different grades(from unsuitable to highly suitable).The research findings indicated that there was significant spatial heterogeneity in the bird-watching suitability of the Ming Tombs Forest Farm.The north side of the reservoir was generally a core area with high suitability in all seasons.The deep-aged broad-leaved mixed forests supported the overlapping co-existence of the ecological niches of various bird species,such as the Zosterops simplex and Urocissa erythrorhyncha.In contrast,the shallow forest-edge coniferous pure forests and mixed forests were more suitable for specialized species like Carduelis sinica.The southern urban area and the core area of the mausoleums had relatively low suitability due to ecological fragmentation or human interference.Based on these results,this paper proposed a three-level protection framework of“core area conservation—buffer zone management—isolation zone construction”and a spatio-temporal coordinated human-bird co-existence strategy.It was also suggested that the human-bird co-existence space could be optimized through measures such as constructing sound and light buffer interfaces,restoring ecological corridors,and integrating cultural heritage elements.This research provided an operational technical approach and decision-making support for the scientific planning of bird-watching sites and the coordination of ecological protection and tourism development.
文摘虚拟局域网(Virtual Local Area Network,VLAN)扩展技术中的嵌套(QinQ)技术和映射(Mapping)技术更好地解决了传统VLAN在标签数量限制、跨域互通瓶颈、用户隔离等方面的问题。为了探究这两种技术的工作原理与适用场景,利用华为企业网络仿真平台(Enterprise Network Simulation Platform,eNSP)搭建对比实验环境,构建网络拓扑,配置运行命令,验证测试不同终端之间的连通性,数据抓包分析数据标签封装过程,总结不同技术在扩展能力、隔离效果、配置复杂度等方面的区别。实验结果表明,QinQ技术更适用于大规模隔离需求,Mapping技术更适用于跨域网络动态配置场景,二者可以同时应用于1台设备,互补提升了VLAN扩展的灵活性与部署效率。
文摘地名是基础地理信息,与空间位置具有天然的联系。为满足地名管理信息化建设的需求,本文采用云计算、互联网、地理信息系统(Geographic Information System,GIS)、倾斜摄影、二三维一体化等关键技术,采用地名“一张图”设计思想,建设省/市地名公共服务平台,解决地名数据库动态更新、地名信息跨部门共享服务等问题,满足地名公众服务的需求,从而积极发挥地名在社会管理中的作用。
文摘It is still a laborious work to consult massive multidisciplinary geological maps which are scattered in different geological departments,and hard to give full play to the potential application value of geological map. Along with the network,the development of communication and computer technology,especially with the Web2.0 technology arisen,provides opportunities to the web for sharing of geological maps. Web fast sharing platform of massive geological maps( WSPGM) is based on the Flex technology development,using B/S architecture,with map navigation,search,display,security and other functions of the software system. Through the map pretreatment and asynchronous communication the system can display any size of geological map,and through the range limits,rights management,sharing system and watermark logo to take effective security on geological map. On the basis of this system,with the Jilin University web sharing system of geological map,the system can greatly improve the efficiency of using geological map. for research.
基金Project(9140A18010210KG01)supported by the Departmental Pre-research Fund of China
文摘Designing product platform could be an effective and efficient solution for manufacturing firms. Product platforms enable firms to provide increased product variety for the marketplace with as little variety between products as possible. Developed consumer products and modules within a firm can further be investigated to find out the possibility of product platform creation. A bottom-up method is proposed for module-based product platform through mapping, clustering and matching analysis. The framework and the parametric model of the method are presented, which consist of three steps:(1) mapping parameters from existing product families to functional modules,(2) clustering the modules within existing module families based on their parameters so as to generate module clusters, and selecting the satisfactory module clusters based on commonality, and(3) matching the parameters of the module clusters to the functional modules in order to capture platform elements. In addition, the parameter matching criterion and mismatching treatment are put forward to ensure the effectiveness of the platform process, while standardization and serialization of the platform element are presented. A design case of the belt conveyor is studied to demonstrate the feasibility of the proposed method.
文摘This paper makes astudy on the interactive digital gener-alization,where map generalizationcan be divided into intellective reason-ing procedure and operational proce-dure,which are done by human andcomputer,respectively.And an inter-active map generalization environmentfor large scale topographic map is thendesigned and realized.This researchfocuses on:①the significance of re-searching an interactive map generali-zation environment,②the features oflarge scale topographic map and inter-active map generalization,③the con-struction of map generalization-orien-ted database platform.
文摘With the acceleration of intelligent transformation of energy system,the monitoring of equipment operation status and optimization of production process in thermal power plants face the challenge of multi-source heterogeneous data integration.In view of the heterogeneous characteristics of physical sensor data,including temperature,vibration and pressure that generated by boilers,steam turbines and other key equipment and real-time working condition data of SCADA system,this paper proposes a multi-source heterogeneous data fusion and analysis platform for thermal power plants based on edge computing and deep learning.By constructing a multi-level fusion architecture,the platform adopts dynamic weight allocation strategy and 5D digital twin model to realize the collaborative analysis of physical sensor data,simulation calculation results and expert knowledge.The data fusion module combines Kalman filter,wavelet transform and Bayesian estimation method to solve the problem of data time series alignment and dimension difference.Simulation results show that the data fusion accuracy can be improved to more than 98%,and the calculation delay can be controlled within 500 ms.The data analysis module integrates Dymola simulation model and AERMOD pollutant diffusion model,supports the cascade analysis of boiler combustion efficiency prediction and flue gas emission monitoring,system response time is less than 2 seconds,and data consistency verification accuracy reaches 99.5%.
基金supported by the National Natural Science Foundation of China(Grant No.92044303)。
文摘Air pollution in China covers a large area with complex sources and formation mechanisms,making it a unique place to conduct air pollution and atmospheric chemistry research.The National Natural Science Foundation of China’s Major Research Plan entitled“Fundamental Researches on the Formation and Response Mechanism of the Air Pollution Complex in China”(or the Plan)has funded 76 research projects to explore the causes of air pollution in China,and the key processes of air pollution in atmospheric physics and atmospheric chemistry.In order to summarize the abundant data from the Plan and exhibit the long-term impacts domestically and internationally,an integration project is responsible for collecting the various types of data generated by the 76 projects of the Plan.This project has classified and integrated these data,forming eight categories containing 258 datasets and 15 technical reports in total.The integration project has led to the successful establishment of the China Air Pollution Data Center(CAPDC)platform,providing storage,retrieval,and download services for the eight categories.This platform has distinct features including data visualization,related project information querying,and bilingual services in both English and Chinese,which allows for rapid searching and downloading of data and provides a solid foundation of data and support for future related research.Air pollution control in China,especially in the past decade,is undeniably a global exemplar,and this data center is the first in China to focus on research into the country’s air pollution complex.
